An Efficient Normal Form Game Theory Based Optimization Approach For Channel Allocation In Wireless Communication

Authors

  • Ajay.V.P, Nesasudha.M,

Abstract

Cognitive radio networks are subjected to challenge related to spectrum resource demand, this limits the fair resource allocation between Primary Users (PUs) and secondary users (SUs). The shortage of resources demands database-driven for efficient channel allocation. In CRNs channels are efficiently utilized for SUs through fair resource allocation. In this paper, a novel approach is introduced for resource allocation and sharing based on normal form game theory is developed. The proposed Normal Form Optimization Algorithm (NFOA) optimizes channel resource utilization. Further, within optimization algorithm resource allocation is considered as an objective function. The incorporated optimization algorithm is involved in the optimal computation process for reducing channel complexity through optimal solution estimation. The computation complexity of proposed NFOA measured in terms of running time and resource utilization is measured in terms of the Packet Delivery Rate (PDR), throughput, simulation time, end-to-end delay and Power consumption. The simulation results expressed that the proposed NFOA provides reduced running time and increases PDR rather than conventional back trapping algorithms and reduce in running time implies reduced complexity of proposed scheme. Also, the increase in PDR and throughput leads to reduced end-to-end delay and power consumption resulted in efficient utilization of available channels.

Published

2020-12-01

Issue

Section

Articles