Fuzzy logic and Wireless Sensor Networks - A survey

This paper presents a survey of applications of fuzzy logic in real Wireless Sensor Networks (WSNs). The use of fuzzy logic in WSNs is shown to be a promising technique since it allows combining and evaluating diverse parameters in an efficient manner. Fuzzy logic is a good approach due to the execution requirements can be easily supported by sensor nodes, while it is able to improve the overall network performance. The potential of fuzzy logic goes beyond traditional systems and can be used in many research fields (statistics, quality control, optimization techniques. . .), allowing multidisciplinary approaches and performance improvements. In WSNs, fuzzy logic has been used to improve decision-making, reduce resource consumption, and generally increase performance through efficient deployment, localization, clustering and cluster head election, routing, data aggregation, security, etc.