Fuzzy Logic-Based Range-Free Localization in WSN

Received signal strength (RSS)-based location estimation is one of the most acceptable methods for localization in wireless sensor networks. However, am imperfection in the value of RSS due to various fading affects error in the estimated location results. Here, we have proposed to use fuzzy logic to rectify the uncertainty in the value of received signal strength which in turn results in more localization accuracy. The proposed localization algorithm first finds the interval for the maximal possible value of RSS received by an unknown node from the anchor node and then uses a similarity index to find out the best RSS value for an unknown node. The simulation results show that the proposed method leads to better per node localization accuracy and overall network localization accuracy at different node and anchor node densities as compared to the weighted centroid method.