A Novel Optimization Model for Locating Indoor Access Point Using Population Based Algorithm

Now ever days positioning system of Wireless indoor Access Point have become very popular. These method have been used in many area like asset tracking, location fingerprinting and inventory management. The optimization of location of access point is to improve the accuracy of positioning due to complexity of indoor radio propagation environment. The first method introduce the indoor radio propagation and recently developed optimization method Euclidean for access point location, where the Euclidean metric of received signal strength array among all sample points have to maximize, hence it increase the diversity of signal strength array. So it improves the position accuracy of location fingerprinting method. Then Population based algorithm was used to optimize the proposed problem, and the examines the various experimental result. The result proves that the proposed model for access point location optimization proves the positioning accuracy. Finally, the paper concludes the possible future direction for access point.