Evolutionary Coalitional Game-Based Cooperative Localization in Vehicular Networks

Cooperative localization under complex urban environments has become a solution able to replace Global Navigation Satellite System (GNSS) positioning. Due the lack of an efficient cooperative scheme, traditional vehicle networks result in high computational complexity and heavy communication overhead. In this paper, we concentrate on design vehicle. This paper proposes method based evolutionary coalitional game theory implement location estimation with lower cost. We select neighboring vehicles form coalition node’s square position error bound The is obtained via exchanging information between vehicles. It evident from simulations results that proposed requires low overhead while maintaining accuracy.