Novel Energy-Efficient Congestion Control Protocol in Wireless Networks Using Evolutionary Game Paradigm

Abstract

In recent years, Wireless Network technology was designed for short distance communications like ZigBee, Bluetooth and Infrared Transmission. Congestion degrades the performance of the wireless network and also reduces the battery life of a mobile node. Congestion control is very much essential in the transport layer to prevent performance degradation in a wireless network. Congestion control mechanism restricts the packet transmission rate with respect to the shared network resources. In this work, we designed a novel Energy-Efficient Congestion Control Protocol using Evolutionary Game model (EECCP-EG) for reducing congestion in wireless network. The main objective of the EECCP-EG is stability analysis with different strategy spaces in a network in which losing strategies are eliminated and winning strategies are remain for stability. The proposed EECCP-EG uses symmetric hawk-dove game to access the shared network recourse for preventing congestion in wireless network. In this, Evolutionary Stable Strategies (ESS) is used to change their strategies dynamically based on fitness value of winning resources and achieves equilibrium. The increase or decrease in the rate of data transmission defines the aggressiveness of the symmetric hawk-dove game. The transmission control protocols (TCP) with an additive-increase multiplicative-decrease mechanism control the aggressiveness of the protocol. Simulation results show that the proposed EECCP-EG scheme could significantly minimize the network traffic and there by reduce the congestion in the networks.