چکیده (انگلیسی):

A Wireless Sensor Networks (WSN) comprise of a huge quantity of clusters of sensor nodes that can
inter communicate with all nodes and with the base station through a wireless link. All clusters are
corresponding to a cluster head to provide a direct communication to the base station and in addition
with other cluster heads. Obviously well-organized selection of cluster head is a significant problem in
the performance of the wireless sensor network. In this study, a novel two stage clustering protocol
based on Self Organizing Map (SOM) neural network and Modified Fuzzy Possibilistic Clustering
Algorithm (MFPCM) with the purpose of balancing the energy consumption. The clustering is carried
out based on two important condition, energy level and coordinates of sensor nodes. Consequently, this
novel two stage clustering method can prevent from premature death of the nodes and permit for
random death of them. The experimental observation reveals that the SOM-MFPCM based clusterhead
selection algorithm performs better than the cluster head election approach used in LEACH and
can enable the network lifetime longer with less number of dead nodes.