An Immune Inspired Approach to 802.11 Wireless LANs Coverage Optimization

摘要：

Coverage optimization is a critical issue in 802.11 Wireless LANs planning problems. In this paper an immune network algorithm named opt-aiNet is studied in order to automatize the planning process by optimizing the BSs (Base Station) sites. Compared the results of opt-aiNet and genetic algorithms(GA) which have been used in radio coverage optimization before, we found that opt-aiNet could find the optimal solution all times while GA falling into local optimum solution sometimes, and opt-aiNet converged more quickly than GA in most cases. Experimental results show that opt-aiNet is an effective way to optimize the 802.11 Wireless LANs planning problems.

关键词： Optimization Coverage Optimization Immune Network Algorithm Genetic Algorithm

作者: Xuan Zhou Rongbin Qi Qian Li Feng Qian

作者单位: Key Laboratory of Advanced Control and Optimization for Chemical Processes,Ministry of Education Eas School of Electronics and Information Tongji University Shanghai.China

会议类型: 国际会议

会议名称: 2010 International Conference on Information,Networking and Automation(2010 IEEE信息网络与自动化国际会议 ICINA 2010)

会议地点: 昆明

会议语种:英文

页码: 62-66

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）