Fuzzy Logic for Cluster Head Selection in Wireless Sensor Network

In Wireless Sensor Network (WSN), cluster head selection is a critical issue. It can drastically affect the whole performance of network lifetime when the characteristic of sensor node are not well defined. In order to deal with this problem, this paper proposed a fuzzy-based system for cluster head selection and new data routing to minimize the energy usage of sensor node. The proposed algorithm called Multi-tier Algorithm (MAP). It is constructed with 2-tiers of network design where the cluster head selections is based on three parameters using Fuzzy Logic technique. The primary nodes at each tier are introduced to transmit data to the base station. Then, the algorithm was tested by 2000 and 4000 bits of data using random energy to predict the lifetime of the sensor nodes in the network. It is concluded that, the implementation of Fuzzy Logic used all node evenly and nodes (lied sequentially as the data increased. This causes the sensor nodes utilize their energy effectively hence prolonging the network's lifetime. For the future work, the stability of this algorithm can be compared against LEACH and SEP algorithms.