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EAI Endorsed Transactions on Energy Web

Editor(s)-in-Chief: Mihaela Ulieru and Valeriy Vyatkin

Scope

With ICT pervading everyday objects and infrastructures, the ‘Future Internet’ is envisioned to leap towards a radical transformation from how we know it today (a mere communication highway) into a vast hybrid network seamlessly integrating knowledge, people and machines as techno-social ecosystems…

With ICT pervading everyday objects and infrastructures, the ‘Future Internet’ is envisioned to leap towards a radical transformation from how we know it today (a mere communication highway) into a vast hybrid network seamlessly integrating knowledge, people and machines as techno-social ecosystems whose behaviour transcends the boundaries of today’s engineering science. From self-reconfiguring manufacturing plants and self-stabilizing energy grids to self-deploying emergency taskforces – such ecosystems relying on a myriad of mobile devices, software agents and human users will be spontaneously deployed through eNetworks on the sole basis of local rules and peer-to-peer communication. This trend is driving a much needed radical transformation of the energy sector metamorphosed into a pervasively adaptive ecosystem of hybrid energy providers in which local microgrids of prosumers (producers and consumers) will interact with large power providers in a coopetition-driven manner. Several technologies are currently racing to production to meet this dream, from ‘smart dust’ to hybrid networks capable to control the emergence of dependable and reliable green and energy-efficient ecosystems – which we generically term the ‘energy web’ – calling for major paradigm shifts highly disruptive of the ways the energy sector functions today. The EAI Endorsed Transactions on the Energy Web are positioned at the forefront of these efforts as a forum for the most forward looking frontier research undertaken by the international scientific community. We will publish original works reporting on prominent advances that challenge traditional thinking to find solutions to the ongoing energy problems spanning from blackouts to green and alternative energy.

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Topics

The EAI Transactions on Energy Web and Information Technologies topics include but are not limited to:

  • Green Data Centres and Data Storage
  • Greener Smart Homes
  • Green Smart Cities
  • Greener Secure Web Transactions
  • Energy Systems Modelling
  • Energy Efficient Virtualized Systems
  • Ener…

The EAI Transactions on Energy Web and Information Technologies topics include but are not limited to:

  • Green Data Centres and Data Storage
  • Greener Smart Homes
  • Green Smart Cities
  • Greener Secure Web Transactions
  • Energy Systems Modelling
  • Energy Efficient Virtualized Systems
  • Energy Efficient DSA (for CR Networks, D2D/M2M)
  • Energy Efficient LAA (Licensed Assisted Access for 5G)
  • Energy Aware Interference Mitigation in 4G Networks
  • Energy Conservation and Mangement Strategies
  • Telemetry and Power Engineering Based on Self-Organising Networks with Combined Information Transmission Channels
  • Transportation and Electric Vehicles
  • Green Communication Protocols
  • Energy Efficient Routing Protocols
  • Physical Layer Techniques for Energy Efficiency
  • Energy Efficient Device-to-Device (D2D) Communications
  • Energy-Aware Design for Small Cells and HetNets
  • Energy Efficient Algorithms and Scheduling Techniques
  • Green Massive MIMO Techniques
  • Cross-Layer Energy Efficiency Optimisation
  • Standardisation for Green Communications and Networking
  • Energy Efficient and Secure Implementation of Cryptographic Protocols
  • Lightweight Cryptography
  • Monitoring and Management of Energy Supply
  • Online Learning Technologies in the Energy Sector
  • Power Systems Regulations
  • Power Systems Transmission Management
  • Supply Chain Energy Management
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Special Issues

Special Issue Editor: Iosif Breido (Karaganda State Technical University)

Call for Papers:

Special Issue on The Energy Green, Intelligent in Computing & Communic…

Special Issue Editor: Iosif Breido (Karaganda State Technical University)

Call for Papers:

Special Issue on The Energy Green, Intelligent in Computing & Communication Technologies(Submission deadline: 15 June, 2018)

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Editorial Board

  • Andrey Mazalov (South Federal University)
  • Álvaro Suárez Sarmiento (University of Las Palmas)
  • Assad Abbas (COMSATS Institute of Information Technology, Islamabad, Pakistan)
  • Baozhi Chen (Rutgers University)

  • Bill St. Arnaud (CANARIE Inc.,…

  • Andrey Mazalov (South Federal University)
  • Álvaro Suárez Sarmiento (University of Las Palmas)
  • Assad Abbas (COMSATS Institute of Information Technology, Islamabad, Pakistan)
  • Baozhi Chen (Rutgers University)
  • Bill St. Arnaud (CANARIE Inc., Canada)
  • Cheng Pang (Lulea University of Technology)
  • Elena Gebel (Omsk State Technical University)
  • Geert Deconinck (Katholieke Universiteit Leuven, Belgium)
  • Irina Yuryevna Semykina (Kuzbass State Technical University, Kemerovo, Russia)
  • Joel Kubby (The University of California at Santa Cruz, CA, USA)
  • Jorge Sa Silva (University of CoimbraJorge Sa Silva University of Coimbra)
  • Jose Marti (University of British Columbia, Canada)
  • Manik Sharma (DAV University Jalandhar, India)
  • Marija Ilic (Carnegie Melon University, USA)
  • Mehmet Aydin (University of the West of England, UK)
  • Mikhail Medvedev (Southern Federal University)
  • Muhammad Shakir (University of the West of Scotland)
  • Nauman Aslam (Northumbria University, UK)
  • Randy Katz (UC Berkeley, CA, USA)
  • Richard Somerville (University of California at San Diego, CA, USA)
  • Roberto Setola (Universita Campus Bio-Medico di Roma, Italy)
  • Sabu M Thampi Center for Research and Innovation in Cyber Threat Resilience (CRICTR)
  • Sergey Mikhailovich Stazhkov (Baltic State Technical University, St. Petersburg)
  • Valeriy Vyatkin (University of Auckland, New Zealand)
  • Vivek Deshpande VIT College of Engineering, Pune, India
  • Vladimir Dyo (University of Bedfordshire, UK)
  • Xin Liu (Dalian University of Technology)
  • Zeeshan Shakir (University of the West of Scotland)
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Submission Instructions
Publication Ethics and Malpractice Statement
Editors and Editorial Board
Publisher
EAI
ISSN
2032-944X
Volume
2
Published
3rd Nov 2015

  • Price-based Energy Control for V2G Networks in the Industrial Smart Grid

    Research Article in EAI Endorsed Transactions on Energy Web 15(5): e5

    Rong Yu, Jiefei Ding, Weifeng Zhong, Yan Zhang, Stein Gjessing, Alexey Vinel, Magnus Jonsson

    Abstract
    The energy crisis and global warming call for a new industrial revolution in production and distribution of renewable energy. Distributed power generation will be well developed in the new smart elec…The energy crisis and global warming call for a new industrial revolution in production and distribution of renewable energy. Distributed power generation will be well developed in the new smart electricity distribution grid, in which robust power distribution will be the key technology. In this paper, we present a new vehicle-to-grid (V2G) network for energy transfer, in which distributed renewable energy helps the power grid balance demand and supply. Plug-in hybrid electric vehicles (PHEVs) will act as transporters of electricity for distributed renewable energy dispatching. We formulate and analyze the V2G network within the theoretical framework of complex network. We also employ the generalized synchronization method to study the dynamic behavior of V2G networks. Furthermore, we develop a new price-based energy control method to stimulate the PHEV's behavior of charging and discharging. Simulation results indicate that the V2G network can achieve synchronization and each region is able to balance energy supply and demand through price-based control.
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  • BLAST: Battery Lifetime-constrained Adaptation with Selected Target in Mobile Devices

    Research Article in EAI Endorsed Transactions on Energy Web 15(5): e2

    Pietro Mercati, Vinay Hanumaiah, Jitendra Kulkarni, Simon Bloch, Tajana Rosing

    Abstract
    Mobile devices today contain many power hungry subsystems and execute different applications. Standard power management is not aware of the desired battery lifetime and has no visibility into which a…Mobile devices today contain many power hungry subsystems and execute different applications. Standard power management is not aware of the desired battery lifetime and has no visibility into which applications are executing. However, power consumption is strongly dependent on which applications are executed. In this work, we propose a novel power characterization strategy for mobile devices called application-dependent power states (AP-states). Based on that, we formulate a management problem to improve performance under battery lifetime constraints, and we implement the management framework on a real Android device. We call our framework BLAST: Battery Lifetime-constrained Adaptation with Selected Target. The goal of such framework is to maximize performance while letting the device battery to last at least for a certain required lifetime, and only requires the user to select the desired target lifetime. The implementation does not require OS modifications and can be ported and installed to any Android device. We experimentally verify that our strategy can still meets user experience requirements with a selected target battery lifetime extension of at least 25%.
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  • Wi-Fi Hotspot Auto-Discovery: A Practical & Energy-Aware System for Smart Objects using Cellular Signals

    Research Article in EAI Endorsed Transactions on Energy Web 15(5): e1

    Nithyananthan Poosamani, Injong Rhee

    Abstract
    The Internet of Things (IoT) paradigm aims to interconnect a variety of heterogeneous Smart Objects (SO) using energy-efficient methodologies and standard communication protocols. A majority of consu…The Internet of Things (IoT) paradigm aims to interconnect a variety of heterogeneous Smart Objects (SO) using energy-efficient methodologies and standard communication protocols. A majority of consumer devices sold today come equipped with wireless LAN and cellular technology to connect with the world-wide network. To discover Wi-Fi hot spots, there is a need for constant scanning of Wi-Fi radio in these devices and results in significant battery drain. We present PRiSM, a practical system to automatically locate Wi-Fi hotspots while Wi-Fi radio is turned off, by using the statistical characteristics of cellular signals. Cellular signals are received at zero extra cost in mobile devices and hence PRiSM is highly energy-efficient. It is a lightweight client-side only implementation and needs no prior knowledge on floor plans or wireless infrastructure. We implement PRiSM on Android-based devices and show up to 96% of energy savings in Wi-Fi sensing operations which is equivalent to saving up to 16% of total battery capacity, together with an average prediction accuracy of up to 98%.
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  • Energy Efficient Scheduling for Mobile Push Notifications

    Research Article in EAI Endorsed Transactions on Energy Web 15(5): e3

    Utku Acer, Afra Mashhadi, Claudio Forlivesi, Fahim Kawsar

    Abstract
    Push notifications are small and succinct messages used by mobile applications to inform users of new events and updates. These notifications are pushed to the user devices by a set of dedicated noti…Push notifications are small and succinct messages used by mobile applications to inform users of new events and updates. These notifications are pushed to the user devices by a set of dedicated notification servers (e.g., Apple Push Notification Server, Google Cloud Messaging Server, etc.) as they arrive from the content providers of the mobile applications. However, due to their intrinsic small size and sporadic nature, the transfer of these messages is not power efficient, especially on cellular networks. To address this, we propose a network centric scheduling mechanism that delays the delivery of these messages as appropriate by sensing and predicting users' cellular network activities. A trace based evaluation with 60 users' cellular network logs of 30 days shows that we can reduce the energy consumption of mobile devices by 10\% for an average delay of 150 seconds in notification delivery. As a network based system that does not require any modifications to user devices, scheduling push notifications opens up interesting opportunities for mobile operators to provide value added and differentiating services, especially considering the sharp rise of non-critical push notification messages.
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  • A Middleware for Power Management in Multicore Smartphones

    Research Article in EAI Endorsed Transactions on Energy Web 15(4): e4

    Shaosong Li, Shivakant Mishra

    Abstract
    Increased power consumption is a critical concern for smartphone users. While multi-core processors in smartphones have already emerged in market, current applications are yet to take full advantage …Increased power consumption is a critical concern for smartphone users. While multi-core processors in smartphones have already emerged in market, current applications are yet to take full advantage of this new architecture, particularly in the area of managing power consumption. This paper addresses the issue of managing power consumption in multicore smartphones via a middleware layer that schedules optimal number of cores for currently running applications taking into account the tradeoff between power consumption, performance and user experience. The paper first describes a simple and accurate method to measure the overall power consumption and then studies the impact of scheduling seven different popular applications over one to four cores on the overall power consumption. Based on this study, the paper proposes three new power-aware scheduling algorithms that dynamically schedule optimal number of cores as well as dynamically adjust the voltage frequency of each online core to achieve the best tradeoff between power consumption, application performance and user experience under the current context. Evaluation from a prototype implementation of the middleware on a quad-core HTC One shows that these algorithms result in significant reduction in power consumption while ensuring good performance and user experience.
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