An intelligent access algorithm for large scale multihop wireless networks based on mean field game

Abstract In a distributed wireless network with large number of nodes, competitive access nodes may result in the deterioration throughput and energy. Therefore, this paper we propose an intelligent algorithm based on mean field game (MFG). First, formulate process between as Query ID="Q1" Text="Please check confirm that authors their respective affiliations have been correctly identified amend if necessary." by stochastic differential model, which maximizes energy efficiency obtain optimal behavior strategy while meeting requirements channel access. However, increases, dimension matrix used to characterize interaction becomes too large, increases complexity solution procedure. introduce MFG can be approximately transformed into field, not only reduces complexity, but also computational overhead. addition, HJB-FPK equation is solved Nash equilibrium MFG. Finally, backoff Markov model proposed, node obtains corresponding according situation its own state. Simulation results show proposed has good performances optimizing for scale multi-hop network.