By Topic

Game-theoretic particle swarm optimization for WMNs

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Liqiang Zhao ; State Key Laboratory of Integrated Services Networks, Xidian University, Xi¿an, Shaanxi, China ; Hailin Zhang ; Wei Ding ; Jie Zhang

Game theory is a useful and powerful tool for performance analysis and optimization of wireless mesh networks (WMNs). Based on incompletely cooperative game theory, a mesh router can estimate the game state (e.g., the number of competing nodes), and broadcast this information to its clients. Then all the clients play a cooperative game based on the estimated game state, and achieve the optimal equilibrium strategy. For each client to implement the game independently as it cannot get the game state accurately or timely sometimes, particle swarm optimization is introduced into the game, and a game-theoretic particle swarm optimization scheme (G-PSO) for WMNs is presented in this paper. Simulation results show that G-PSO can increase system throughput and decrease delay, jitter and packet-loss-rate.

Published in:

2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications

Date of Conference:

15-18 Sept. 2008