Indoor Wireless Sensor Network Localization Using RSSI Based Weighting Algorithm Method for Short Range Wireless Communication

Abstract

Currently, wireless sensor network has important in the role of the short-range wireless communication, especially in, an indoor localization. However, there are more factors of the indoor environment caused to reduce the precise localization and also increase the error of distance. This paper presents a new method to evaluate the wireless sensor network (WSN) technology for the indoor localization. The proposed methods are using received signal strength indicator (RSSI) to compute the error of distance based on weighting algorithms. Whereby the weight range localizer (WRL) and relative span exponential weight range localizer (RS-WRL) is proposed in this paper. As the results, the cumulative distribution function (CDF) probability indicates the error of distance as properly, and this method can help to increase the precision of range based localization method in an application of indoor environment.