A new fuzzy based optimization method for energy consumption on wireless sensor networks

Abstract: In this thesis, the fuzzy logic is used to obtain the minimum energy in the Wireless Sensor Networks (KSA). In order to determine the best clustering and cluster leader, Mamdani Fuzzy Method is chosen. There are nine rules that are used for the fuzzy rules. These rules are composed of nine rules consists of total of 9 rules with three to three rules. The two inputs are used: one of these is the energy of each node and the other one is the distance between the nodes. The output of the fuzzy implementation represents the chance value for the cluster leader. This means that the probability of each sensor being a cluster leader depends on the energy and distance of the sensors. With this model, identifying the cluster leader is considered as a useful model. In this study, fuzzy logic method is used for routing. MATLAB programming is used to simulate, perform and obtain the results of the study. Key Words: Wireless Sensor Network, Energy Consumption, Fuzzy Logic 2020, 51 pages Science Code: 91