A New Multi Level Clustering Model to Increase Lifetime in Wireless Sensor Networks

Most of clustered models in wireless sensor networks use a double-layered structure. In these structures a node is considered as cluster-head and has the responsibility of gathering information of environment. Static attribute is the main disadvantage of these clustering method because as traffic rises in environment as time passes, cluster-head nodes energy and its close nodes, is consumed rapidly and so these nodes that has important role in data gathering, are break down. This issue is considered as age decrease in network life time and finally, network death. In this paper, a new three-layered dynamic model is introduced that its main goal is to increase network life time. The dynamic of this model is because the cluster-head node and the nodes nearby, that build layer 1 and layer 2 respectively, according to location analysis and traffic rate are replaceable and can change network connectivity. This paper discusses when and how network connectivity should change. The proof of the proposed issues is done using simulation methods.