EAI Endorsed Transactions on Smart Cities

An open access journal abstracted/indexed in DBLP, CrossRef, OCLC Discovery Services, EuroPub, among others. It focuses on applications for Smart Cities with leverage on big-data applications, ICT devices used in factory of the future, HPC, industrial processes, energy efficiency systems, social platforms and more, with no publishing fees.

Editor(s)-in-Chief: Henrique Santos and Sara Paiva

Scope
Topics
Editors in Chief
Editorial Board
Special Issues

Smart Cities are transforming our urban life with digital technologies, offering new citizen-centric public services, optimizing the usage of resources and reducing the impact of service provisioning on the environment. Cities are too big to ignore, they are at the core of our work and leisure lives, hosting the majority of World's population, and the majority of its innovation infrastructure and assets.

Regarding key fundamental dynamics and mobility issues, many cities continue to grow in world-wide while demographic aging will also create pressure of the costs of running staff-intensive mobility infrastructure. It is necessary to improved performance in basic city management areas starting from smart and sustainable mobility, traffic and road networks, to transport systems, but also considering street cleaning to water management, to sustainable energy and affordable low carbon environments.

Generally, a smart city combines legacy networks and new communication architectures in order to achieve compatibility and interoperability among public administrations, operators, companies and population. Then, it goes beyond the use of ICT to provide new advanced services in diverse business and technological domains, such as urban transports, water supply, disposal facilities, lightning, heat buildings and so on. To this aim, the integration of information and communication systems, sensors and data analytics over different systems and infrastructures of a city is necessary.

Topics include, but are not limited to, the following:

Applications for Smart Cities able to leverage Big-Data Applications, ICT devices used in Factory of the Future, HPC, Industrial Processes, Energy Efficiency Systems, Social Platforms, etc.
Building Trust-based communication and computing systems for IoT and Clouds applications being Secure for Citizens
eHealth applications for Citizens.
Connecting in City Buildings for optimizing resources and utilities.
Software engineering methodology for the design of Smart Cities Systems
Energy Efficient and Green Software-defined Infrastructures aimed at Smart Cities facilities.
Re-allocation of resources and services (independently of their location) across distributed computing and geographically separated data storage and processing infrastructures. Inter-Cities along with Federation Services: availability, Disaster recovery, etc.
Federation of Services (IaaS, PaaS and SaaS) aimed at Public Administrations
Service discovery in Smart Cities - device Discovery and Data Discovery.
Easy and Large Deployment and autonomic management of densely interconnected and decentralised Cloud, Networks and IoTs infrastructures aimed at Smart Cities.
Control Architectures/Network Programmability in Smart Cities aimed at mobility, traffic and road networks, transport systems, energy, economy, and so on.
ICT applications enabling Energy-aware, smart and sustainable mobility solutions for Smart Cities.
Verification/Debugging/ Auditing Tools for all Applications in Smart Cities Domains
Energy-aware and sustainable computing solutions for Smart Cities applications

Special Issue Editor: Massimo Villari (Univerity of Messina, Italy)

Andrea Prati (University of Parma)
Antonio Celesti (Universitá degli Studi di Messina)
Antonio Jara (University of Applied Sciences Western Switzerland)
Bin Guo (Northwestern Polytechnical University)
Burak Kantarci (University of Ottawa)
Dhananjay Singh (Hankuk University of Foreign Studies, South Korea)
Luca Foschini (University of Bologna)
Marco Zappatore (University of Salento)
Maria Fazio (Universitá degli Studi di Messina)
Philipp Leitner (University of Zurich)
Rajiv Ranjan (Newcastle University)
Yanmin Zhu (Shanghai Jiao Tong University)
Mohd Abdul Ahad (Jamia Hamdard, India)
Sérgio Adriano Fernandes Lopes (University of Minho Portugal)
Yuanqing Zheng (The Hong Kong Polytechnic University)

Henrique Santos¹

Henrique M. Dinis Santos received his first degree in Electric and Electronic Engineering, from the University of Coimbra, Portugal, in 1984. In 1996 he received the Ph.D. degree in Computer Engineering, from the University of the Minho, Portugal and the habilitation degree in 2013, by the same institution. Currently, he is an Associate Professor at the Information Systems Department, University of Minho, being responsible for several graduate and postgraduate courses. The research work has been framed within ALGORITMI Research Centre, at the same university, where he is responsible by the supervision of several postgraduate students and the coordination of several R&D projects, mainly in the Information Security area – emphasis on Intrusion Detection, biometrical technologies and Information Security Management – and Computer Architecture area – emphasis on Computer Vision and Cloud Computing. He authored and co-authored several scientific publications in journals, conferences and books within his field of interests and co-authored a patent with an industrial partner, in 2012, in the biometric area. He is also the President of a national Technical Committee (CT 136) for information system security standardization, Vice President for Conferences and Workshops of IEEE Education Society, President of the Portuguese Association for Data Protection (APPD) and integrates frequently advice and scientific committees supporting civil, governmental and military organizations, concerning Information Security subjects. During the second semester of 1990, under an ERASMUS program, he was teaching at the University of Bristol, United Kingdom, where he was recognized as University Academic staff.

Sara Paiva²

Sara Paiva is an Associate Professor at the Polytechnic Institute of Viana do Castelo, a PhD in Informatics Engineering from University of Vigo in 2011 and a Postdoctoral Researcher at the University of Oviedo since January 2018, under advanced driving assistants and urban mobility. She is the coordinator of a recently created research centre in the Polytechnic Institute of Viana do Castelo. Her main line of research is mobility solutions with a focus on accessibility and social inclusion and has oriented several final projects of Bachelor and Master in her main line of work. She is frequent book editor of Springer and IGI books, has authored and co-authored several scientific publications in journals and conferences, is a frequent reviewer of international journals and international conferences.

1: University of Minho
2: Instituto Politécnico de Viana do Castelo

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Oil and Gas supply chain optimization using Agent-based modelling(ABM) integration with Big Data technology
Appears in:
sc 18: e1

Authors:
Jamal Maktoubian, Mehran Ghasempour-Mouziraji, Mohebollah Noori

Published:
3rd Aug 2018

Abstract:
The worldwide oil & gas industry is one of the world's most complex business networks, and is connected with almost every supply chain branch. It includes international and domestic transportation, materials handling, ordering and inventory visibility and control, import/export facilitation and soc…The worldwide oil & gas industry is one of the world's most complex business networks, and is connected with almost every supply chain branch. It includes international and domestic transportation, materials handling, ordering and inventory visibility and control, import/export facilitation and social network, etc. Traditionally, it has been influenced by big oilfield companies. However, in recent years the industry has been changing into a more heterogeneous and diverse network of businesses, and the oilfields are getting smaller and more diverse. One of the reason could be dwindling the oil reserves and growing specialized companies which are able to extract hydrocarbons; another reason is the restructuring and globalization of the entire business as well as some new technology implementing. Using agent-based modeling and big data technology integrity, we are able to optimize supply chain in oil and gas industries.
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C-ABAC: An ABAC based Model for Collaboration in Multi-tenant Environment
Appears in:
sc 18(8): e3

Authors:
Mohamed Amine Madani, Mohammed Erradi, Yahya Benkaouz

Published:
26th Jun 2018

Abstract:
Collaborative systems allow a group of users to collaborate through distributed platforms in order to perform a common task. Collaborators usually use cloud-based solutions to outsource their data and to benefit from the cloud capabilities. Ensuring access control in a cloud-based collaborative ses…Collaborative systems allow a group of users to collaborate through distributed platforms in order to perform a common task. Collaborators usually use cloud-based solutions to outsource their data and to benefit from the cloud capabilities. Ensuring access control in a cloud-based collaborative session is an important problem that should be addressed, especially in a multi-tenant configuration. In this paper, we present C-ABAC, a Collaboration Attributes Based Access Control model that ensures access control in multi-tenant cloud environments. C-ABAC supports the workflow concept, preserves the tenants autonomy in defining their local policies and preserves the confidentiality of the object attributes. The implementation of C-ABAC in the SwiftStack environment demonstrates the feasibility of the suggested model.
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Analysis of Publicly Available Business E-Data in Slovakia
Appears in:
sc 18(8): e2

Authors:
Romana Hricová, Stanislav Adamčík

Published:
26th Jun 2018

Abstract:
The paper analyzes publicly available e-data that entrepreneurs need and use for their business in Slovakia. Today is not the problem of getting to the information, but getting to it as quickly as possible, the cheapest and, most importantly, getting it as accurately as possible. Although data has …The paper analyzes publicly available e-data that entrepreneurs need and use for their business in Slovakia. Today is not the problem of getting to the information, but getting to it as quickly as possible, the cheapest and, most importantly, getting it as accurately as possible. Although data has been published in various forms and public institutions in the past, a major shift has been made by launching the slovensko.digital platform. The aim of this initiative is to improve informatization in Slovakia. The ambition of the article is to point out what e-data is being provided today and what are the ways to use it.
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A DSPL Design Framework for SASs: A Smart Building Example
Appears in:
sc 18(8): e1

Authors:
A. Achtaich, N. Souissi, R. Mazo, O. Roudies, C. Salinesi

Published:
26th Jun 2018

Abstract:
The Internet of Things is a land of opportunity for believers and supporters of Smart Cities. Experience already shows that smartphones, smart appliances, wearables, sensors and actuators can be brought together to deliver advanced services like smart markets, smart parking, smart buildings or smar…The Internet of Things is a land of opportunity for believers and supporters of Smart Cities. Experience already shows that smartphones, smart appliances, wearables, sensors and actuators can be brought together to deliver advanced services like smart markets, smart parking, smart buildings or smart energy. But in order to do so in a complex, dynamic, rapidly changing and resource constrained environment, adapting fleets of devices to align with context fluctuations becomes a necessity. This paper describes the framework established to tackle the problem. It represents the dimensions for building Self-adaptive fleets for IoT applications, based on the foundations of the DSPL paradigm and the RE principles. The paper also allocates a model for each dimension of the framework, and through a preliminary proof of concept Smart Building example, confirms the usability of the proposal.
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On a Mobile Phone Contact List Based on Social Relations
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sc 18(7): e6

Authors:
Pasteur Poda, Rashid Ben Amed Charles Zongo, Ibraima Dagnogo, Theodore Tapsoba

Published:
12th Feb 2018

Abstract:
Social relations are unquestionably the major provider of contacts in the mobile devices contact lists. However, they remain marginal in the literature of social software related to the contact list and are not at all integrated in its design. Inspired by African social and cultural practices, this…Social relations are unquestionably the major provider of contacts in the mobile devices contact lists. However, they remain marginal in the literature of social software related to the contact list and are not at all integrated in its design. Inspired by African social and cultural practices, this paper is about a design of the contact list that integrates the social relationships existing between people in the real life. A desktop prototype of the proposed contact list designing allows to validate it. Illustrations of the developed application demonstrate the assets of the proposed contact list regarding issues such as contacts reminding/retrieval and homonymy resolving with respect to the real life. Additional capabilities of the proposed contact list reside in the creation of groups of contacts for group communications needs.
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An Interactive Adaptive Learning System Based on Agile Learner-Centered Design
Appears in:
sc 18(7): e5

Authors:
A. Battou, O. Baz, D. Mammass

Published:
12th Feb 2018

Abstract:
Adaptive and interactive Learning concepts has apprehended the interest of educational actors and partners, especially in higher education. However, the implementation of those concepts has faced many challenges, particularly in Interactive Adaptive Learning Systems (IALS). The present paper aims t…Adaptive and interactive Learning concepts has apprehended the interest of educational actors and partners, especially in higher education. However, the implementation of those concepts has faced many challenges, particularly in Interactive Adaptive Learning Systems (IALS). The present paper aims to give the foundation of a framework for an IALS that gives extensive attention at each stage of the design process to the end-user: learners. The system proposed is based on balanced combination of Agile Learning Design and Learner-Centred Design to improve teaching effectiveness, facilitate learning among learners, encourage long life learning and maximize motivation as well as reducing the dropout rate.
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Classification and analysis of spectrum sensing mechanisms in Cognitive Vehicular Networks
Appears in:
sc 18(7): e4

Authors:
A. Riyahi, S. Bah, M. Sebgui, B. Elgraini

Published:
12th Feb 2018

Abstract:
Vehicular Ad hoc Networks (VANETs) is an essential part of Intelligent Transportation System (ITS), which aims to improve the road safety. However, the main challenge in VANET is the spectrum scarcity which is more severe especially in the urban environment. In this view using Cognitive Radio (CR) …Vehicular Ad hoc Networks (VANETs) is an essential part of Intelligent Transportation System (ITS), which aims to improve the road safety. However, the main challenge in VANET is the spectrum scarcity which is more severe especially in the urban environment. In this view using Cognitive Radio (CR) technology in VANET has emerged as a promising solution providing additional resources and allowing spectrum efficiency. But, vehicular networks are highly challenging for spectrum sensing due to speed and dynamic topology. Furthermore, these parameters depend on the CVNs’ environment such as highway, urban or suburban. Therefore, solutions targeting CVNs should take into consideration these characteristics. As a first step towards an appropriate spectrum sensing solution for CVNs, we first, provide a comprehensive classification of existing spectrum sensing techniques for CVNs. Second, we discuss, for each class, the impact of the vehicular environment effects such as traffic density, speed and fading on the spectrum sensing and data fusion techniques. Thirdly, we derive a set of requirements for CVN’s spectrum sensing that takes into consideration specific characteristics of CVN environments. Finally, we propose a new CVN scheme adopted in particular for urban environment where the spectrum sensing is more challenging due to dense traffic and correlated shadowing.
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Computational Viability of Fog Methodologies in IoT Enabled Smart City Architectures-A Smart Grid Case Study
Appears in:
sc 18(7): 3

Authors:
Md. Muzakkir Hussain, Mohammad Saad Alam, M.M. Sufyan Beg

Published:
12th Feb 2018

Abstract:
The gradual evolution in the Information Communication Technology (ICT) support of Smart City (SC) architecture leveraged with meshes of Internet of Things (IoT) creates and welcomes research and investment efforts from academia, R&Ds and policymakers. The IoT utilities are being deployed at eve… The gradual evolution in the Information Communication Technology (ICT) support of Smart City (SC) architecture leveraged with meshes of Internet of Things (IoT) creates and welcomes research and investment efforts from academia, R&Ds and policymakers. The IoT utilities are being deployed at every layers of a typical SG backbone namely Application layer, Energy layer and Communication layer. The geo-distributed clusters of IoT “objects” produce galactic volume of data that exacerbates the need to make a paradigm shift from centralized data center based processing to a hybrid model that supports both in situ as well as cloud based storage and computational resources. To combat such SC issues, Fog Computing (FC) emerges as a promising solution, which pushes the computation resources onto the network edge nodes. This work investigates the high performance of Fog Computing over generic cloud computing in terms of metrics viz. latencies, power consumption etc, through a Smart Grid (SG) use-case. Through an operational cost optimization framework, the work comprehends the suitability of fog methodologies to make a synergistic interplay with the core centered clouds thus empowering a wide breed of real-time and latency free services. Finally, an overview of the core orchestration issues, challenges, and future research directions are presented for FC enabled SCs.
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Federated Cloud Analytics Frameworks in Next Generation Transport Oriented Smart Cities (TOSCs) - Applications, Challenges and Future Directions
Appears in:
sc 18(7): e2

Authors:
Md. Muzakkir Hussain, Mohammad Saad Alam, M.M. Sufyan Beg

Published:
12th Feb 2018

Abstract:
Electric, plug-in electric and plug-in hybrid electric vehicles (xEVs) are receiving a global attention from automotive industries, vehicle vendors, R&D organizations, power sectors and policymakers in the intelligent transportation era. Penetration of xEV fleet into the contemporary charging inf… Electric, plug-in electric and plug-in hybrid electric vehicles (xEVs) are receiving a global attention from automotive industries, vehicle vendors, R&D organizations, power sectors and policymakers in the intelligent transportation era. Penetration of xEV fleet into the contemporary charging infrastructure(s) in the absence of robust integration network imbalances the power grid and potentially jeopardize the execution of emerging distributed generation systems. However, smart grid technologies in collaboration with smart charging management strategies can circumvent such operational disparities, thus enabling a reliable, efficient, consistent and optimal electric energy management in the power system. This work employs the notion of Cloud of Things (CoT) to propose a comprehensive cloud aware Transport Oriented Smart City (TOSC) framework intended to provide intelligent solutions to the contemporary transportation infrastructures in the emerging sustainable smart cities. The proposed work also demonstrates a commercially viable vehicle to cloud (V2C) fleet charging framework for charging management of xEVs through micro grids/ smart grid. The unprecedented data breeding across V2C, cloud to grid (C2G) and grid to vehicle (G2V) bidirectional communication interfaces elucidates the need for computationally efficient analytics. A state-of-the-art Big-Data to Knowledge (B2K) workflow structure is thus proposed for translating the generated data into efficient knowledge for noble decisions and inferences. Finally, the substantial Mobility as a service (MaaS) adoption challenges and data science prospects are outlined along with the emerging technologies that can co-work with the proposed framework to ensure commercial viability and optimal implementation in emerging TOSCs.
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High availability of charging and Billing In Vehicular ad hoc Network
Appears in:
sc 18(7): e1

Authors:
Mohamed Darqaoui, Slimane Bah, Marouane Sebgui

Published:
12th Feb 2018

Abstract:
VANET (Vehicular Ad Hoc Network) is actually an important field for the development of a variety of services. In VANET charging and billing of services could not be enabled in the same way as in classical mobile and fix networks and MANET (Mobile Ad Hoc Network) because of the characteristics of su…VANET (Vehicular Ad Hoc Network) is actually an important field for the development of a variety of services. In VANET charging and billing of services could not be enabled in the same way as in classical mobile and fix networks and MANET (Mobile Ad Hoc Network) because of the characteristics of such network namely the high speed of nodes, frequent disconnection between nodes, rapidly changing topology and the large size of the network. The purpose of this work is to propose a flexible high level charging and billing scheme to allow a high availability of the charging and billing process in VANET.
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Cycling intellectualization in Smart Cities
Appears in:
sc 17(6): e5

Authors:
I. V. Makarova, A. D. Boyko, K. A. Shubenkova

Published:
20th Dec 2017

Abstract:
Intellectualization is the basis for managing Smart Cities. This involves infrastructure development and design of vehicles equipped with intelligent modules, which provide the control ability. Along with it, the transition to “green”, safe and sustainable modes of transport, such as bicycle, shoul…Intellectualization is the basis for managing Smart Cities. This involves infrastructure development and design of vehicles equipped with intelligent modules, which provide the control ability. Along with it, the transition to “green”, safe and sustainable modes of transport, such as bicycle, should be realized. The widespread use of environmentally friendly bicycles
is constrained by a number of reasons. The first is the absence of models designed for physically untrained people and the second is that almost half of all deaths on the world’s roads are among pedestrians and cyclists. We propose to solve these problems in two ways: development of an information system for bicycle infrastructure planning and modelling and creating
control system of Smart Bike with adaptive electric drive that turns on when it’s necessary. Functional requirements for the proposed control system, its algorithm and the conceptual scheme of interaction between system’s modules are presented in the article.
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Emulating Vehicular Ad hoc Networks for Evaluation and Testing of Automotive Embedded Systems
Appears in:
sc 16(2): e2

Authors:
Manuel Schiller, Alois Knoll

Downloads:
593

Abstract:
The evaluation and testing of cooperative applications based on Vehicular Ad hoc Networks (VANETs) in real testbeds is difficult due to the need for repeatable scenarios and large-scale experiments. Therefore a novel virtualization-based framework is presented to evaluate automotive software in the…The evaluation and testing of cooperative applications based on Vehicular Ad hoc Networks (VANETs) in real testbeds is difficult due to the need for repeatable scenarios and large-scale experiments. Therefore a novel virtualization-based framework is presented to evaluate automotive software in the context of emulated VANETs. The approach enables the precise and large-scale evaluation of real-world implementations through the synchronized execution of network and vehicle simulators as well as the applications encapsulated in virtual Electronic Control Units. This paper provides a detailed description of the framework's structure and its components as well as an validation of the proposed synchronization algorithm. The performance comparison with pure network simulation indicates that despite additional overhead large-scale experiments can be conducted without loss of accuracy.
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Smartphone Application for Self Blood Glucose Monitoring & Disease Management- A Case Report
Appears in:
sc 16(4): e2

Author:
Moshe Kamar

Downloads:
488

Abstract:
Self-management of blood sugar glucose, diet and control of daily activities are crucial in overall management of type 2 diabetes mellitus (DM). In order to better adjust insulin type and dosage, educate for better diet patients are seldom requested to conduct a diary of their glucose measurements …Self-management of blood sugar glucose, diet and control of daily activities are crucial in overall management of type 2 diabetes mellitus (DM). In order to better adjust insulin type and dosage, educate for better diet patients are seldom requested to conduct a diary of their glucose measurements and meals. In today’s era of smartphone widespread use, it has been suggested that using mobile technology for self-blood glucose measurement together with the ability to automatically capture other factors important to control DM, may be an important method for enhancing disease self-management.
The Dario™ device and mobile application, is a self-blood glucose monitoring device using smartphone interface. The application accumulates data of measurements, insulin intake, meals and physical activity. Users are also members of an electronic DM support group. We present a case of a 55 y.o. type 2 DM patient who reported using the device over a year period. The patient baseline HbA1c before using the Dario program was 7.4. He started using the Dario device and application and over a period of one year he managed to gradually reduce HbA1c to 6.2 by keeping his glucose measurements in range from 20% a week to 100%.
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Sophisticated Route Calculation Approaches for Microscopic Trafﬁc Simulations
Appears in:
sc 16(2): e3

Authors:
Karl Huebner, Bjoern Schuenemann, Ilja Radusch

Downloads:
486

Abstract:
In order to implement meaningful microscopic traffic simulations, a sophisticated calculation of the vehicle routes is essential. In this paper, different route calculation approaches for microscopic traffic simulators are analysed and compared. Various simulations are performed to detect traffic d…In order to implement meaningful microscopic traffic simulations, a sophisticated calculation of the vehicle routes is essential. In this paper, different route calculation approaches for microscopic traffic simulators are analysed and compared. Various simulations are performed to detect traffic distribution and traffic flow resulting from the used route calculation approaches. To have simulations as realistic as possible, real OD matrices of the city of Fulda (Germany) were used for the evaluation of the different approaches. The results show that simple route calculation algorithms are not appropriate for microscopic traffic simulations. However, approaches that are more sophisticated and that integrate additional heuristics produce good results regarding traffic distribution and traffic flow and can improve iterative techniques to find a user equilibrium.
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Multi Agent System Optimization in Virtual Vehicle Testbeds
Appears in:
sc 16(2): e1

Authors:
Patrick Lange, Rene Weller, Gabriel Zachmann

Downloads:
486

Abstract:
Modelling, simulation, and optimization play a crucial role in the development and testing of autonomous vehicles. The ability to compute, test, assess, and debug suitable configurations reduces the time and cost of vehicle development. Until now, engineers are forced to manually change vehicle…Modelling, simulation, and optimization play a crucial role in the development and testing of autonomous vehicles. The ability to compute, test, assess, and debug
suitable configurations reduces the time and cost of vehicle development.
Until now, engineers are forced to manually change vehicle configurations in virtual testbeds in order to react to inappropriate simulated vehicle performance.
Such manual adjustments are very time consuming and are also often made ad-hoc, which decreases the overall quality of the vehicle engineering process.
In order to avoid this manual adjustment as well as to improve the overall quality of these adjustments, we present a novel comprehensive approach to modelling, simulation, and optimization of such vehicles.
Instead of manually adjusting vehicle configurations, engineers can specify simulation goals in a domain specific modelling language. The simulated vehicle performance
is then mapped to these simulation goals and our multi-agent system computes for optimized vehicle configuration parameters in order to satisfy these goals.
Consequently, our approach does not need any supervision and gives engineers visual feedback of their vehicle configuration expectations.
Our evaluation shows that we are able to optimize vehicle configuration sets to meet simulation goals while maintaining real-time performance of the overall simulation.
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Evaluation of LPWAN technology for Smart City
Appears in:
sc 17(6): e3

Authors:
Hussein Mroue, Guillaume Andrieux, Eduardo Motta Cruz, Gilles Rouyer

Downloads:
476

Abstract:
In this paper, we explore technologies for low power wide area networks (LPWAN) serving the Internet of Things (IoT). These networks are ded-icated to long-range and low-speed communication to ensure a good autonomy up to 10 years and a budget link up to tens of kilometers. The performance of two …In this paper, we explore technologies for low power wide area networks (LPWAN) serving the Internet of
Things (IoT). These networks are ded-icated to long-range and low-speed communication to ensure a good autonomy up to 10 years and a budget link up to tens of kilometers. The performance of two LPWA technologies is investigated, where the well known LoRa and Sigfox technologies are evaluated according to their sensitivity to the interference and the impact of the spreading spectrum technique on the receptor sensitivity. Numerical results are presented and discussed.
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IoT Applications to Smart Campuses and a Case Study
Appears in:
sc 17(5): e4

Author:
D. Minoli

Downloads:
457

Abstract:
Internet of Things (IoT) concepts are now being broadly investigated for actual deployment initiatives. Although ecosystem-wide architectures and standards are still slowly evolving and/or still lacking, some progress is being made; standardization fosters flexibility, cost-effectiveness, and ubiqu…Internet of Things (IoT) concepts are now being broadly investigated for actual deployment initiatives. Although ecosystem-wide architectures and standards are still slowly evolving and/or still lacking, some progress is being made; standardization fosters flexibility, cost-effectiveness, and ubiquitous deployment. Applications range from infrastructure and critical-infrastructure support (for example smart grid, smart city, smart building, and transportation), to end-user applications such as e-health, crowdsensing, and further along, to a multitude of other applications where only the imagination is the limit. This article discusses a specific example of an IoT application supporting Smart Campuses. Smart Campuses are part of a continuum that spans cities at the large-scale end to smart buildings at the small-scale end, and encompass universities, business parks, hospitals, housing developments, correctional facilities, and other real estate environments. The specific Use Case example covered in this article relates to an actual project to automate some key functions at a set of large campuses, but the nature of the campus is not directly revealed. After a review of the applicable IoT and control technologies, this Best Practices article describes technological solutions that were employed to support the requisite control functions and serves as an example for the applicability of IoT to Smart Campus applications.
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Computational Viability of Fog Methodologies in IoT Enabled Smart City Architectures-A Smart Grid Case Study
Appears in:
sc 18(7): 3

Authors:
Md. Muzakkir Hussain, Mohammad Saad Alam, M.M. Sufyan Beg

Downloads:
456

Abstract:
The gradual evolution in the Information Communication Technology (ICT) support of Smart City (SC) architecture leveraged with meshes of Internet of Things (IoT) creates and welcomes research and investment efforts from academia, R&Ds and policymakers. The IoT utilities are being deployed at eve… The gradual evolution in the Information Communication Technology (ICT) support of Smart City (SC) architecture leveraged with meshes of Internet of Things (IoT) creates and welcomes research and investment efforts from academia, R&Ds and policymakers. The IoT utilities are being deployed at every layers of a typical SG backbone namely Application layer, Energy layer and Communication layer. The geo-distributed clusters of IoT “objects” produce galactic volume of data that exacerbates the need to make a paradigm shift from centralized data center based processing to a hybrid model that supports both in situ as well as cloud based storage and computational resources. To combat such SC issues, Fog Computing (FC) emerges as a promising solution, which pushes the computation resources onto the network edge nodes. This work investigates the high performance of Fog Computing over generic cloud computing in terms of metrics viz. latencies, power consumption etc, through a Smart Grid (SG) use-case. Through an operational cost optimization framework, the work comprehends the suitability of fog methodologies to make a synergistic interplay with the core centered clouds thus empowering a wide breed of real-time and latency free services. Finally, an overview of the core orchestration issues, challenges, and future research directions are presented for FC enabled SCs.
more »
An Open Agent-Based Model to Simulate the Effect of WOM Marketing Campaigns
Appears in:
sc 16(4): e3

Authors:
Paul Leger, Manuela López, Carmen Hidalgo-Alcázar, Hiroaki Fukuda

Downloads:
453

Abstract:
Word-Of-Mouth (WOM) is the opinion of consumers about a product. There is currently a clear trend in the use of WOM to diffuse information about a new product, known as WOM marketing campaigns. Marketing researchers are studying the impact of the different types of these campaigns has. The difficul…Word-Of-Mouth (WOM) is the opinion of consumers about a product. There is currently a clear trend in the use of WOM to diffuse information about a new product, known as WOM marketing campaigns. Marketing researchers are studying the impact of the different types of these campaigns has. The difficulty in getting data and isolating the effect that is analyzed limits the research of marketers in this topic. Lastly, some simulation models based on agents have overcome previous difficulty. However, these models are ad-hoc and specific solutions for every study. This poster proposes an open implementation of an agent-based model to simulate different scenarios of WOM marketing campaigns. Through customizations, this proposal will allow marketing researchers to test WOM marketing campaigns in different scenarios.
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Issues of Hazardous Materials Transport and Possibilities of Safety Measures in the Concept of Smart Cities
Appears in:
sc 16(1): e4

Authors:
Vladimír Adamec, Barbora Schüllerová, Vojtěch Adam, Marek Semela

Downloads:
443

Abstract:
The transportation of goods and supplies is an essential part of maintaining a functioning urban infrastructure. It also involves the transport of dangerous goods. This type of transportation may especially in the urban areas signify a high risk that may significantly damage the critical infrastruc…The transportation of goods and supplies is an essential part of maintaining a functioning urban infrastructure. It also involves the transport of dangerous goods. This type of transportation may especially in the urban areas signify a high risk that may significantly damage the critical infrastructure of the city if there is an accident and leakage of dangerous chemical substances. The aim is, therefore, to minimize the risk and its consequences. The effective instruments are through the identification, analysis and assessment of these risks, searching for critical areas in cities and ensuring the application of prevention and safety measures. Application of risk analysis methods helps to identify the expected and probable risks that can significantly influence the safety of the critical infrastructure. On the other hand, risk analysis methods which can also identify unknown risks with low probability of occurrence are currently being developed. The paper introduces a methodology of assessment of transport risk in cities focusing on reducing the impact of hazard in cities. The risk analysis methods and approaches are subsequently proposed as the initial stage of implementing the selected safety measures. This paper aims to introduce the issue of risks associated with transportation of hazardous substances in cities and to propose measures that are in accordance with the concept of Smart Cities, in order to contribute to the creation of a functional communication network, traffic flow in cities and increasing the security of critical infrastructure.
more »
Oil and Gas supply chain optimization using Agent-based modelling(ABM) integration with Big Data technology
Appears in:
sc 18: e1

Authors:
Jamal Maktoubian, Mehran Ghasempour-Mouziraji, Mohebollah Noori

Downloads:
361

Abstract:
The worldwide oil & gas industry is one of the world's most complex business networks, and is connected with almost every supply chain branch. It includes international and domestic transportation, materials handling, ordering and inventory visibility and control, import/export facilitation and soc…The worldwide oil & gas industry is one of the world's most complex business networks, and is connected with almost every supply chain branch. It includes international and domestic transportation, materials handling, ordering and inventory visibility and control, import/export facilitation and social network, etc. Traditionally, it has been influenced by big oilfield companies. However, in recent years the industry has been changing into a more heterogeneous and diverse network of businesses, and the oilfields are getting smaller and more diverse. One of the reason could be dwindling the oil reserves and growing specialized companies which are able to extract hydrocarbons; another reason is the restructuring and globalization of the entire business as well as some new technology implementing. Using agent-based modeling and big data technology integrity, we are able to optimize supply chain in oil and gas industries.
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Publisher: EAI
ISSN: 2518-3893
Number of Volumes: 2

Last Published: 26th Jun 2018

EAI Endorsed Transactions on Smart Cities

Henrique Santos1

Sara Paiva2

Henrique Santos¹

Sara Paiva²