2nd EAI International Workshop on Applications of Game theory for Smart Grids in Cognitive radio Networks


Emerging technologies and applications including Internet of Things (IoT), social networking, and crowd-sourcing generate large amounts of data at the network edge. Cognitive Radio Network based models often built from the collected data, to enable the detection, classification, and prediction of future network performance. Due to bandwidth, storage, and privacy concerns, it is often impractical to send all the data to a centralized location. With due consideration, Game Theory applications target to overcome the desired needs in wireless communication. In worldwide the deployment of Wirelesss communication networks has launched a big milestone in academia and industry, the communication has made a remarkable achievement in the wireless communication and moves beyond cognitive radio networks with 5G. The game theory application proposes a shared resources in a fashioned way in wireless CR networks CR brings the tremendous impact in bandwidth optimization and cost efficiency, especially in the next-generation cellular network With the effective utilization of the natural resource the radio spectrum, Smart grid is a two-way communication enabled power grid, in which electrical power generation is integrated with emerging technologies such as wireless communication, pervasive computing, and adaptive control to substantially improve the efficiency, reliability and sustainability. This special session focuses on application of game theory for the smart grid application in CR networks

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Topics of interest include but not limited to:

  • Cognitive Network Analytics for Smart grid
  • Smart meters for Smart grid
  • Access Control model for Smart grid Networks
  • Decision making approaches using Game Theory for Smart grid
  • Access Control Policies in CR networks for Smart grid
  • Spectrum Aware and Cognitive sensor Networks for Smart grid
  • Energy Harvesting in Cognitive Radio Networks for Smart grid
  • CR based WSAN for Field Network in  Smart grid
  • Trust Management in Cognitive Radio Networks for Smart grid
  • IOT analytics using Cognitive Radio Networks for Smart grid


All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library: SmartGIFT Conference Proceedings.

SmartGIFT proceedings are indexed in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected papers will be invited to submit an extended version to:

All accepted authors are eligible to submit an extended version in a fast track of:

Additional publication opportunities:

Paper submission

Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

Papers should be from 7 to 20  pages long with reference.

Important dates

Submission Deadline: 18 August 7 September, 2021
Notification Deadline: 22 September, 2021
Camera-ready Deadline: 22 October, 2021
Conference: 24-26 November, 2021

Session Chairs

Dr. S. Vimal,
IEEE Senior Member
Department of Computer Science and Engineering,
Ramco Institute of Technology,
Tamil Nadu, India
Email: [email protected]

Dr. Danilo Pelusi,
Faculty of Communication Sciences,
University of Teramo, Italy
Email: [email protected]

Dr. Manju Khari,
Ambedkar Institute of Advanced Communication Technologies & Research
Govt. Of NCT of Delhi, India
Email: [email protected]

Dr Seifidine Kadry
Faculty of Applied Computing and Technology, Noroff University College, Kristiansand,
Email: [email protected]

Dr M. Kaliappan
Department of Computer Science and Engineering,
Ramco Institute of Technology,
Tamil Nadu, India
Email: [email protected]