Combination of neural network based clustering and genetic algorithm for multi-objective 802.11n planning
Shoa-Yei Yeong, Tat‐Chee Wan, Wafaa A. H. Ali Alsalihy · 2009
Wireless local area network (WLAN) planning process is a complicated task and requires constant monitoring as the health of WLAN can be easily interfered by many factors. With 802.11n access points and routers deployment, managing the WLAN can be further complicating the usual tasks for wireless administrator. This paper presents a network plan for IEEE 802.11 based WLAN as pre-deployment plan for the WLAN 802.11n standard devices. The strategy to be used is a combination of neural network based clustering and genetic algorithm for collecting real WLAN data and a pure genetic algorithm for simulation. Computational results show that this hybrid approach provides good enough quality solutions within a reasonable amount of time. His document gives formatting instructions for authors preparing papers for publication in the Proceedings of an IEEE conference. The authors must follow the instructions given in the document for the papers to be published. You can use this document as both an instruction set and as a template into which you can type your own text.