Distributed State Estimation for Wireless Sensor Networks using Coalitional Games

Wireless sensor networks offer diverse applications through distributed strategies. This paper investigates the fundamental properties of such networks, where agents dynamically switch communication strategies to estimate their states while minimizing communication costs. Using game-theoretic tools, we address optimal communication strategy selection, equitable cost-sharing, and identification of critical links in the network. We test the proposed distributed coalitional game framework for mobile self-localization, demonstrating its effectiveness in improving network reliability and cost efficiency in practical scenarios.