Coverage of Indoor WLAN in Obstructed Environment Using Particle Swarm Optimization

Wireless communications is the fastest growing segment of the communications industry and over the recent years, it has rapidly emerged in the market providing users with network mobility, scalability, and connectivity. It is a flexible data communication system implemented as an extension to or as an alternative for, a wired LAN [1]. The placement of access points (AP) can be modeled as a nonlinear optimization problem. The work explores the measured data in terms of signal strength in the indoor WLAN 802.11 g at Malviya Bhavan, Boys Hostel Building, Indian Institute of Technology, Roorkee, Saharanpur Campus coverage using optimization technique. In the present study, an application of particle swarm optimization (PSO) is shown to determine the optimal placement of AP.