An effective combination for router placement optimization problem to improve the performance of wireless mesh networks
Publish place: 7th Sympozium on Advances in Sience & Technology
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
SASTECH07_131
تاریخ نمایه سازی: 30 تیر 1392
Abstract:
Wireless Mesh Networks (WMNs) as an important technology and communication infrastructure in order to access different networks, particularly the Internet, are considered because of the convenient features for next-generation wireless networks. Mesh router placement is a central problem in problems associated with WMNs. To design WMNs, router/gateway placement, connectivity and coverage area, are critical issues to improve network performance and are directly related to network reliability. In this paper we try to consider all the effective parameters such as network connectivity, end-to-end transmission delay, node placement to optimize WMNs designing. A hybrid of binary genetic algorithm (BGA) and particle swarm optimizer algorithm (PSO) is used to solve the multi objective optimization problem. Binary genetic algorithm-Particle swarm optimizer hybrid (BGA-PSOH) helps us design a WMN with optimum deployment cost, packet transmission delay and router placement. The experimental results confirm the effectiveness of the proposed method and illustrate the relationship between network connectivity, total delay and the number of required routers.
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Authors
Mohammad Esmaeili
Department of Electrical Engineering, Shahid Bahonar University Kerman, Iran
Ali Mahani
Department of Electrical Engineering, Shahid Bahonar University Kerman, Iran
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