文献类型：会议论文

英文题名：An immune inspired approach to 802.11 Wireless LANs coverage optimization

作者：Zhou, Xuan[1]; Qi, Rongbin[1]; Li, Qian[2]; Qian, Feng[1]

机构：[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, China; [2] School of Electronics and Information, Tongji University, Shanghai, China

会议论文集：ICINA 2010 - 2010 International Conference on Information, Networking and Automation, Proceedings

语种：英文

外文关键词：IEEE Standards - Wireless local area networks (WLAN)

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 BS's (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 optaiNet is an effective way to optimize the 802.11 Wireless LANs planning problems. ? 2010 IEEE.