A Fuzzy Logic Algorithm for Minimizing Error (FLAME) in Wireless Sensor Networks

Position localization is an important problem in wireless sensor networks. A major challenge in this problem is overcoming errors and imprecision in locating the unknown position of a randomly deployed sensor. Localization is also an initial step to subsequent procedures such as routing and information exchange. Thus, if the result from localization is inaccurate, then future processes would be tainted with error. We propose a new approach for cooperative object localization by a group of communicating sensors. Information gathered by these sensors is combined using fuzzy logic techniques to attain a sensor positioning algorithm with minimized error.