Symmetric game for distributed estimation in energy harvesting wireless sensor networks with selfish sensors

Abstract

The power control problem for distributed estimation in energy-harvesting wireless sensor networks (EH-WSNs) poses a unique set of problems with the uncertain availability of resources. The fusion center (FC) usually is hard to predict the energy state of sensors that use ambient energy harvesting. Concerning the problem that existing decentralized power control schemes are not suitable in EH-WSHs, we propose a novel distributed symmetric game, which takes both energy harvesting and the characteristics of distributed estimation into account. And, each sensor makes decisions autonomously and is treated fairly. Then, some conclusions of Nash equilibriums (NEs) are introduced, and that can explain the trend observed in simulations. Finally, numerical results validate the effectiveness of the proposed symmetric game.