A Non-Cooperative Game Theoretical Approach For Power Control In Virtual MIMO Wireless Sensor Network

TL;DR

This paper proposes a game theory-based power control strategy for VMIMO wireless sensor networks, optimizing energy consumption and extending network lifetime by determining optimal transmission power levels.

Contribution

It introduces a novel game-theoretic framework for power control in VMIMO-WSNs, utilizing Nash equilibrium to improve utility and reduce power consumption.

Findings

Achieves optimal power levels using game theory

Reduces power consumption while maintaining utility

Extends network lifetime through efficient power control

Abstract

Power management is one of the vital issue in wireless sensor networks, where the lifetime of the network relies on battery powered nodes. Transmitting at high power reduces the lifetime of both the nodes and the network. One efficient way of power management is to control the power at which the nodes transmit. In this paper, a virtual multiple input multiple output wireless sensor network (VMIMO-WSN)communication architecture is considered and the power control of sensor nodes based on the approach of game theory is formulated. The use of game theory has proliferated, with a broad range of applications in wireless sensor networking. Approaches from game theory can be used to optimize node level as well as network wide performance. The game here is categorized as an incomplete information game, in which the nodes do not have complete information about the strategies taken by other nodes. For virtual multiple input multiple output wireless sensor network architecture considered, the Nash equilibrium is used to decide the optimal power level at which a node needs to transmit, to maximize its utility. Outcome shows that the game theoretic approach considered for VMIMO-WSN architecture achieves the best utility, by consuming less power.