An Improved Hierarchical Clustering Method for Mobile Wireless Sensor Network Using Type-2 Fuzzy Logic

Energy consumption in a sensor network plays a critical role while designing the network as wireless sensor networks (WSNs) work in an unattended environment where the human approach is not possible. To over- come the energy consumption issue, a powerful method i.e. clustering is used in order to improve the scalability and lifespan of the sensor network. But, in mobile WSNs (MWSNs) due to the movement of the sensor nodes (SNs) packet loss arise and hence is a major problem for MWSNs. To overwhelm this problem, current researchers have proposed many clustering schemes for MWSNs considering the mobility of SNs into account, but many of the given schemes overload the cluster head (CH). To conquer this problem in WSN, many researchers gave the idea of using fuzzy logic (FL) for MWSNs for electing the appropriate CH. A SN that is elected as CH on the basis of FL is efficient in terms of flexibility and have the ability to distribute the load among SNs equally thus can enhance the lifetime of the sensor network. In this paper, an improved hierarchical clustering method for MWSN using Type-2 FL (T2FL) named LEACH-MT2FL is proposed to enhance the lifetime of SNs and also reduce the packet loss. Simulation results of this proposed approach show that it is better than existing ones in terms of the network lifetime, energy consumption, and packet delivery ratio. Also, simulation results show that LEACH-MT2FL with FOU 0.7 performs well than LEACH-MF.