Enhanced Trilateration Localization Using Fuzzy Logic for WSN

One of the most widely used techniques for solving the famous localization problem in wireless sensor networks (WSNs) is the Trilateration. This paper introduces an enhanced version of the Trilateration algorithm entitled Fuzzy Based Trilateration (FBT). The main objective is to estimate the position of sensor nodes in WSNs accurately with a cheap, low power and simple technique. FBT achieves its objective not only by using Fuzzy Logic similar to previous attempts but also by adding a new dimension parameter to distance estimation. Through a set of simulation experiments, a comparison has been made between the regular Trilateration and the FBT. The simulation results are promising where the best enhancement FBT has made with respect to pure Trilateration is 33% with a linear complexity of O (n) where n is the number of nodes. Keywords—Wireless Sensor Networks (WSN), Localization, Trilateration, Received Signal Strength Indicator (RSSI), Link Quality Indicator (LQI), Power Level (PL), Fuzzy Logic (FL).