A new energy-efficient fuzzy cluster-based routing algorithm with a Constant threshold in wireless sensor network

A major challenge in the development of wireless sensor networks is Increase network lifetime. Cluster-based routing protocols are proposed as a solution to improve energy consumption in wireless sensor networks. Clustering in each round and the single-hop transmission to base station is base of many algorithms that have been presented so far. Clustering in each round increases the number of control messages, collision and reduces energy of the network. Multi-hop routing increases the life time of cluster nodes and improves network performance. Proposed algorithm use the benefits of clustering and multi-hop routing, we consider a new fuzzy clustering based routing protocol with fixed threshold. The innovations of proposed paper include clustering nodes in different rounds, consideration of a fixed threshold, using different clustering algorithms, and multi-hop routing by considering the appropriate intermediate node In order to send data from each cluster head to the base station. Fuzzy inference using parameters such as "remaining energy", "neighbors' number", and "distance" of each node. The proposed algorithm has been compared with other algorithms on the field of network lifetime parameters, number of dead nodes per round, first dead node, half dead, and last dead node. The simulation results show that the proposed algorithm increases the network life expectancy of 44.5 percent in compared with other methods.