Abstract
Fuzzy Multi Cluster-Based Routing with a Constant Threshold (FMCR-CT) is presented as a solution to help save more energy in wireless sensor networks. Most of the algorithms introduced so far are based on clustering in each round and single-hop transmission of data to the base station. Clustering in each round increases the number of control messages and the possibility of collision. FMCR-CT is innovative in several areas which includes avoid performing clustering in each round, introducing fixed threshold, using different algorithms to do the clustering and utilizing multi-hop routing by considering a suitable middle node to send data from each cluster to the base station. The main aim of the study is to propose an approach in which improves the wireless sensor network lifetime by lessening cluster head selections and transmitted messages in each round. Remaining energy, number of nodes and distance of each node are considered as fuzzy criteria to select the cluster head. FMCR-CT has been compared to other algorithms in terms of parameters such as network lifetime, dead nodes in each round, the first node die, half node die and the last node die. The results from simulation reveal that FMCR-CT could outperform other methods.
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