Design and Implementation of a Simulation System Based on Particle Swarm Optimization for Node Placement Problem in Wireless Mesh Networks

Shinji Sakamoto, Tetsuya Oda, Makoto Ikeda, Leonard Barolli
2015 2015 International Conference on Intelligent Networking and Collaborative Systems  
With the fast development of wireless technologies, Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure due to their low cost and increased high speed wireless Internet connectivity. This paper implements a simulation system based on Particle Swarm Optimization (PSO) in order to solve the problem of mesh router placement in WMNs. 4 replacement methods of mesh routers are considered: Constriction Method (CM), Random Inertia Weight Method (RIWM), Linearly Decreasing
more » ... inearly Decreasing Vmax Method (LDVM) and Linearly Decreasing Inertia Weight Method (LDIWM). Simulation results are provided, showing that the CM converges very fast, but has the worst performance among the methods. The considered performance metrics are the Size of Giant Component (SGC) and the Number of Covered Mesh Clients (NCMC). The RIWM converges fast and the performance is good. The LDIWM is a combination of RIWM and LDVM. The LDVM converges after 170 number of phases but has a good performance.
doi:10.1109/incos.2015.18 dblp:conf/incos/SakamotoOIB15 fatcat:r5obdusbwjgi7db4rbsyzbabji