EAI Endorsed Transactions on Energy Web

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.

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

Guest editor: Manik Sharma (Department of Computer Science and Applications, DAV University, India)

Call for Papers: Special issue on: Design and Analysis of Artificial Intelligent Systems using Machine Learning, IoT and Nature-inspired Computing Systems (Submission of manuscript: September 30, 2019; First notification: October 30, 2019; Submission of revised manuscript: November 20, 2019; Final notification: December 10, 2019; Publication date: January, 2020)

• Alexander N. Shpiganovich (Lipetsk State Technical University, Russia)
• Álvaro Suárez Sarmiento (University of Las Palmas, Spain)
• Amando P. Singun, Jr. (Higher College of Technology, Muscat, Sultanate of Oman)
• Andrey Mazalov (South Federal University, Russia)
• Assad Abbas (COMSATS Institute of Information Technology, Islamabad, Pakistan)
• Baozhi Chen (Rutgers University, USA)
• Bill St. Arnaud (CANARIE Inc., Canada)
• Cheng Pang (Lulea University of Technology, Sweden)
• Elena Gebel (Omsk State Technical University, Russia)
• Geert Deconinck (Katholieke Universiteit Leuven, Belgium)
• Irina Yuryevna Semykina (Kuzbass State Technical University, Kemerovo, Russia)
• Joel Kubby (The University of California at Santa Cruz, USA)
• Jorge Sa Silva (University of Coimbra, Portugal)
• 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, Russia)
• Nauman Aslam (Northumbria University, UK)
• Randy Katz (UC Berkeley, USA)
• Richard Somerville (University of California at San Diego, USA)
• Roberto Setola (Universita Campus Bio-Medico di Roma, Italy)
• Sabu M Thampi (Center for Research and Innovation in Cyber Threat Resilience (CRICTR), India)
• Sergey Mikhailovich Stazhkov (Baltic State Technical University, St. Petersburg, Russia)
• 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, China)
• Velliangiri. S (CMR Institute of Technology, India)
• Zeeshan Shakir (University of the West of Scotland, UK)

An open access journal abstracted/indexed in Scopus, DOAJ, DBLP, CrossRef, EBSCO Discovery Service, Academic Search Ultimate, OCLC Discovery Services, EuroPub, among others. It focuses on topics ranging from ‘smart dust’ to hybrid networks capable of controlling the emergence of dependable and reliable green and energy-efficient ecosystems, with no publishing fees.