EAI Endorsed Transactions on Internet of Things

Issue 11, 2017

Editor(s)-in-Chief: Claudio Enrico Palazzi and Der Jiunn Deng

Articles
Information

Algorithm and Formal Model of Recovering Network Connectivity in Battlefield Surveillance
Appears in:
IoT 17(11): e1

Authors:
Nazir Ahmad Zafar , Hamra Afzaal

Abstract:
Battlefield surveillance requires mission-critical operations and tasks which can effectively be performed using Wireless Sensor and Actor Networks (WSANs). We have used clustering approach for deployment of WSAN to minimize energy consumption and to limit the processing cost. The adverse environme…Battlefield surveillance requires mission-critical operations and tasks which can effectively be performed using Wireless Sensor and Actor Networks (WSANs). We have used clustering approach for deployment of WSAN to minimize energy consumption and to limit the processing cost. The adverse environment conditions in battlefield may cause a loss of connectivity but there is a need of continuous flow of information in this application. Therefore an algorithm for network recovering is proposed. Firstly, graphical model of the system is presented using graph theory which is then transformed into a formal model by developing formal specification using Vienna Development Method-Specification Language (VDM-SL). Invariants and pre/post-conditions are defined for its validation. The correctness of the formal specification is assured by an analysis through VDM-SL toolbox.
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State-of-the-Art Congestion Control Protocols in WSN: A Survey
Appears in:
IoT 17(11): e2

Authors:
Mian Ahmad Jan, Syed Roohullah Jan, Muhammad Usman, Muhammad Alam

Abstract:
Wireless Sensor Networks (WSNs) inherently are resource-constrained in terms of available energy, bandwidth, processing power and memory space. In these networks, congestion occurs when the incoming traffic load surpasses the available capacity of the network. There are various factors that lead t…Wireless Sensor Networks (WSNs) inherently are resource-constrained in terms of available energy, bandwidth, processing power and memory space. In these networks, congestion occurs when the incoming traffic load surpasses the available capacity of the network. There are various factors that lead to congestion in WSNs such as buffer overflow, varying rates of transmission, a many-to-one communication paradigm, channel contention and interference. Congestion leads to depletion of the nodes energy, deterioration of network performance and an increase in network latency and packet loss. As a result, energy-efficient and reliable state-of-the art congestion control protocols need to be designed to detect, notify and control congestion effectively. In this paper, we present a review of the latest state-of-the-art congestion control protocols. We analyze these protocols from various perspectives such as, their deployed environments, internal operational mechanisms, their advantages and disadvantages. Depending on their inherent nature of control mechanisms, these protocols are classified either as traffic-based congestion control or resource-based congestion control. Based on our analysis, we further subdivided these protocols based on their hop-by-hop and end-to-end delivery modes.
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BER and NCMSE based Estimation algorithms for Underwater Noisy Channels
Appears in:
IoT 17(11): e3

Authors:
Fahad Khalil Paracha, Sheeraz Ahmed, M. Arshad Jaleel, Hamza Shahid, Umais Tayyab

Abstract:
Channel estimation and equalization of sparse multipath channels is a real matter of concern for researchers in the recent past. Such type of channel impulse response is depicted by a very few significant non-zero taps that are widely separated in time. A comprehensive comparison of few algorithms …Channel estimation and equalization of sparse multipath channels is a real matter of concern for researchers in the recent past. Such type of channel impulse response is depicted by a very few significant non-zero taps that are widely separated in time. A comprehensive comparison of few algorithms in this regard has been provided. The algorithms simulated are LS, LMS and MP while simulation results along with observations are also presented in this paper. The metrics used for performance evaluation are Bit error rate (BER) and Normalized channel mean square error (NCMSE). On the basis of obtained simulation results, it is observed that MP algorithm requires shorter training sequence for estimation of channel response at the receiver as compared with LS. Furthermore, it is observed that MP has best performance while LS and LMS stand after respectively.
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Offshore Outsourcing Risk Management for Pakistan
Appears in:
IoT 17(11): e4

Authors:
Maria Latif, Iftikhar Azim Niaz, Jawwad Ibrahim

Abstract:
Software offshore outsourcing is strong pillar of software development. Software offshore outsourcing involves many risks, due to internal or external factors, that must be recognized and managed. Each organization that deals with the offshore outsourcing must be well aware of all the risk fact…Software offshore outsourcing is strong pillar of software development. Software offshore outsourcing involves many risks, due to internal or external factors, that must be recognized and managed. Each organization that deals with the offshore outsourcing must be well aware of all the risk factors and barriers in the offshore outsourcing to maintain the quality of their product. It is very important for the Pakistan’s software industry to improve and maintain the quality of the products with minimal risk and compete with other countries in offshore outsourcing. The problem addressed in this research article is to minimize the risks occurring in offshore software outsourcing. For that purpose, we propose some offshore outsourcing risk mitigation guidelines for the software industry of Pakistan. We use empirical analysis and the qualitative method. A comprehensive literature review is carried out. The risk factors related to offshore outsourcing specifically for Pakistan’s software industry are generated empirically.
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Secure Login Using Multi-Tier Authentication Schemes in Fog Computing
Appears in:
IoT 17(11): e5

Authors:
Awais Manzoor, Abdul Wahid, Munam Ali Shah, Adnan Akhunzada, Faisal Fayyaz Qureshi

Abstract:
Security threats are major barriers in authentication process in Fog Computing. Identification of a user through single signon process like simple password-based authentications are no longer considered secure. Different multi-tier authentication schemes exist in literature that overcome the weakne…Security threats are major barriers in authentication process in Fog Computing. Identification of a user through single signon process like simple password-based authentications are no longer considered secure. Different multi-tier authentication schemes exist in literature that overcome the weakness of single sign-on. This paper surveys state-of-the-art multi-tier authentication techniques, their vulnerabilities, security threats and their solution proposed over the period of 2012-2016. We compare the performance of existing multi-tier authentication schemes on three parameters, i.e., cost, usability and level of security. Multi-tier authentication schemes have been categorized into groups according to the factors involved in the authentication process. Lastly, we aim to provide an easy and concise view of the underlying authentication model adapted by each approach
more »

Scope

Special Issue of selected papers from conference Future 5V.

The aim of the EAI Endorsed Transactions on Internet of Things (TIoT) is to provide an ideal environment for crystallising original results and achievements in the Internet of Things domain. TIoT scope encompasses all areas related to the technologies and application fields related to IoT. In particular, original and outstanding results related to the research, development and implementation aspects of any technological, economical and sociological field that bears a significant relationship and impact on IoT.

While pursuing a rigorous scientific approach, TIoT will provide a voice to different communities, and will foster synergies between different fields. Computer Science disciplines closely related to IoT, such as Modelling, Networking, Embedded Devices and Security, will integrate novel results with Governance, Economical and Social studies in order to provide a clear and unifying vision for the upcoming IoT.

We invite submissions that present significant results in theoretical and experimental analysis and evaluation of technologies with specific areas including, but not limited to, networking for constrained devices, business models and applications, modelling, architectures and system design for smart objects, cooperative data processing for IoT, social impact of novel IoT technologies, security for embedded devices, semantic and behavioural aspects of interconnected devices.

Topics

The scope of the Transactions encompasses latest advances in the growing field of the Internet of Things (IoT), with the topics of interest being:

Technologies & Protocols: sensors, energy harvesters, RFID, machine-type communications, medium access protocols, radio resource management, indust…

The scope of the Transactions encompasses latest advances in the growing field of the Internet of Things (IoT), with the topics of interest being:

Technologies & Protocols: sensors, energy harvesters, RFID, machine-type communications, medium access protocols, radio resource management, industrial control, real-time systems, embedded software design.
Architectures & Services: cloud-based platforms, big data processing engines, security, privacy, device management, CPS/SCADA platforms, innovative/open service architectures, data mining, service middleware, semantic service management.
Applications & Use Cases: smart cities, smart buildings, smart traffic, industrial internet of things, smart metering, smart agriculture, etc.
Standardisation Landscape: IEEE, IETF, 3GPP, ETSI, and various alliances.
Experimentation & Prototypes: real-world deployments at scale, industrial deployments, experiences with prototypes (including what didn’t work), etc.

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Special Issues

Call for Papers: Special issue on IoT, Machine Learning and Data Analytics for Smart Environment (Manuscript submission deadline: 2022-08-15; Notification of acceptance: 2022-09-30; Submission of final revised paper: 2022-10-30; Publication of special is…

Lead Guest Editor: Mourade Azrour (Moulay Ismail University, Morocco) Guest Editor: Azeem Irshad (Faculty of Computer Science, Asghar Mall College Rawalpindi, HED, Govt. of the Punjab, Pakistan) Guest Editor: Azidine Guezzaz (Cadi Ayyad University, Morocco) Guest Editor: Jamal Mabrouki (Mohammed V University in Rabat, Faculty of Science, Morocco) Guest Editor: Said Benkirane (Cadi Ayyad University, Morocco;)

Editors-in-Chief
Shancang Li, University of the West of England - UWE Bristol, UK
Der Jiunn Deng, National Changhua University of Education, Taiwan
Area Editors
Antonella Molinaro (University Mediterranea of Reggio Calabria, Italy)
Atta Quddus (University of Surrey, UK)
Joachim Sachs …

Editors-in-Chief
Shancang Li, University of the West of England - UWE Bristol, UK
Der Jiunn Deng, National Changhua University of Education, Taiwan
Area Editors
Antonella Molinaro (University Mediterranea of Reggio Calabria, Italy)
Atta Quddus (University of Surrey, UK)
Joachim Sachs (Ericsson, Sweden)
Kan Zheng (BUPT, China)
Liljana Gavrilovska (University Sts. Cyril and Methodius, Macedonia)
Maria Rita Palattella (University of Luxembourg, Luxembourg)
Rose Qingyang Hu (Utah State University, USA)
Xuan Liu (Future Network Research Center, Southeast University, China)
Chien-Liang Chen (Overseas Chinese University, Taichung, Taiwan)
Yu-Liang Liu (Overseas Chinese University, Taiwan)
Thomas Watteyne (INRIA, France; Linear Technologies, USA)
Pietro Manzoni (Universitat Politècnica de València)
Ahmet Çağdaş Seçkin (Uşak University, Turkey)
Rafael Romero-Carazas (Research Directorate of the College of Public Accountants of Arequipa, Peru)
Xavi Vilajosana (UOC, Spain; Worldsensing, Spain)
Qindong Sun (Xi’an Jiaotong University, China)
Ripon Patgiri (National Institute of Technology Silchar, India)
Shanshan Zhao (University of West England, UK)
Kamran Ali (Beijing University of Posts & Telecommunications, China)
Muddesar Iqbal (London South Bank University, UK)
Yun Zhao (Shanxi Agricultural University, China)

Journal Blurb

Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/iot/index

Publisher: EAI
ISSN: 2414-1399
Volume: 3

Published: 2017-07-26

Algorithm and Formal Model of Recovering Network Connectivity in Battlefield Surveillance

State-of-the-Art Congestion Control Protocols in WSN: A Survey

BER and NCMSE based Estimation algorithms for Underwater Noisy Channels

Offshore Outsourcing Risk Management for Pakistan

Secure Login Using Multi-Tier Authentication Schemes in Fog Computing

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