Weighted Trilateration and Centroid Combined Indoor Localization in Wifi Based Sensor Network

Abstract

The wireless communication protocol, wifi based location mapping of objects and also people is considered as a significant requirement to establish a smart environment, for an instance a multistoried shopping mall. The study combines two known algorithms, such as minimum weighted trilateration and centroid in order to enhance the tracking ability of individual technique. The position of a target user is estimated on the basis of Received Signal Strength (RSS) that are collected from Access Points (AP) deployed in various fixed locations without advent of additional hardware resources. The study shows the improvement in terms of accuracy in an average of less than 1 m even for the distance of 12 m and the results are compared with other known techniques. The efficacy of algorithm is evaluated by using MATLAB simulation environment as well as real-time hardware resources.