A novel 3- level energy heterogeneity clustering protocol with hybrid routing for a concentric circular wireless sensor network

Abstract

Big data analytics is an emerging field and wireless sensor network is one of the sources of big data.The sensor nodes in the wireless sensor network have limited energy and necessitate efficient energy utilization. Normally, the sensor nodes are randomly deployed in a square network field and applying clustering technique extends the lifetime of the network. In our proposed work, energy efficient concentric circular clustering protocol(EECCCP), the energy heterogeneity normal and the super nodes having flat topology while the advance nodes having clustering topology, are deployed in different zones of concentric circular network field. A hybrid communication with energy heterogeneity increases the network lifetime. The protocol considers the average energy of the network and residual energy of the nodes to select the cluster-heads. Since the network field is circular with the base station at the center and the nodes with same energy are deployed at equal distance from the base station, this topology increases the network life time and stability of the network. The protocol EECCCP has better performance than stable election protocol, zone stable election protocol and distributed energy efficient clustering.