A Novel Location Estimation for Indoor WLAN Rectangular Node Geometry

Abstract

Indoor Wireless Local Area Network location estimation using received signal strength indication (RSSI) has gained importance due to its low cost and implementation simplicity. This paper presents RSSI based localisation accuracy for user nodes arranged in varying rectangular geometrical configuration. The rectangular node emplacement is commonly used node emplacement pattern in computational and cyber environments such as libraries, labs. The location estimation for nodes in different node arrangement is a challenging task due to multi user interference and multi path propagation. The proposed work is backed up by our preceding article to investigate path loss variations for varying aspect ratio of rectangular receiver node configurations. The Cramer–Rao lower bound of range estimate between access point and the receiver nodes is computed to assess localisation performance. Proposed statistical approach has a better performance compared to a geometric technique to find range estimate using multilateration with linearization algorithm. Results also show that location accuracy attains the maximum accuracy for the highest value of aspect ratio of node geometry equal to 2.80. The work is also useful in resource management and to design a better interior space to place nodes to access quality signals.