An Indoor Positioning Technique Based on Fuzzy Logic

Abstract

In this paper, a novel fuzzy logic indoor positioning system (FLIPS) is proposed. It measures the distances using received signal strength (RSS) between an object and stations, and then a fuzzy logic inference engine determines coordinate of the object. The proposed fuzzy approach performed better than triangulation technique when the RSS is unstable. The experiments demonstrate the performance of proposed approach within Zigbee sensor network. Moreover, the proposed FLIPS can be easily implemented hardware due to the scheme is low complexity. Index Terms—indoor positioning, wireless sensor network,