Title: Non-linear Game Theory Based Intelligent Communication System in Ad-hoc Network

Biography:

Santosh Kumar Das is working as an Assistant Professor in the School of Computer Science & Engineering, National Institute of Science and Technology, Berhampur, Odisha, India. He received his Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India, in the year 2018 and completed his M. Tech. in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology (erstwhile WBUT), West Bengal, India, in the year 2013. He has more than eight years of teaching experience and more than five years of research experience. He has contributed more than 25 research papers. His h-index is 13 with more than 310 citations. He serves as an active reviewer for several reputed international journals like Wireless Networks, Wireless Personal Communications, IEEE Access, Ad-Hoc & Sensor Wireless Networks, International Journal of Information Technology and Web Engineering, International Journal of Knowledge Discovery in Bioinformatics, etc. His research interests mainly focus on Ad-hoc and Sensor Network, Artificial Intelligence, Soft Computing, Fuzzy Logic, and Mathematical Modeling.               

Abstract

In ad-hoc networks, designing an intelligent communication system is a challenging task because the ad-hoc network is a dynamic and infrastructure less network. Each node in the network behaves as a router for sending and receiving the data packets. The dynamic nature and high mobility features of the nodes causes frequent changes in positions and routes. The nodes consist of the batteries having a limited capacity which proves to be insufficient during any operation. Game theory is part of mathematical modeling which is basically of two types, based on the environment such as cooperative and non-cooperative. In cooperative modeling, the nodes collaborate to each other whereas in non-cooperative modeling the nodes do not collaborate with each other.  As the environment of the ad-hoc networks is dynamic. Thus, non-cooperative game theory technique is used to handle the dynamic nature of nodes. The non-cooperative game theory is used to model the conflicting strategies of the nodes by estimating non-linear parameters of the network with the fusion of geometric programming and fuzzy logic. Geometric programming is a non-linear programming based on non-linear constraints in the environment of posynomial. Fuzzy logic is a multi-value logic that works between partial true and false.  This fusion helps to handle large payoff matrices by adding flexibility in the multiple goals of the nodes. The combination of the stated techniques provides an effective mathematical modeling to analyze the conflicting conditions amongst dynamic nodes of the network. It helps to derive an intelligent communication system between the source and destination nodes. The proposed method is validated in terms of mathematical analysis as well as through simulation results based on some performance metrics.