Research Area:  Wireless Sensor Networks
Researchers concentrate on big data. Wireless sensor network is one of the sources of big data. Wireless sensor network has hundreds of sensor nodes with limited energy and computational capability. Clustering is a technique used to reduce the energy expended and extend the network lifetime. Generally, nodes are deployed in a square network field. The nodes at the edges of the network have to transmit longer distance to the sink than the nodes at the sides. This depletes the node energy and reduces the network lifetime. Our proposed work Efficient Energy Heterogeneous Circular field Clustering Protocol (EEHCCP), deploys two tier energy heterogeneity nodes: normal and advance nodes in different zones of concentric circular network field. A hybrid direct and clustered communication in a circular network field has increased the network lifetime and throughput of the sensor network. The network lifetime and throughput of EEHCCP is better than SEP, DEEC and EDEEC. Also, performance metric of heterogeneous clustered EEHCCP is compared with Efficient Energy Homogeneous Circular field Protocol with no clustering.
Author(s) Name:  A. Chithra and R. Shantha Selva Kumari
Journal name:  Wireless Personal Communications
Publisher name:  Springer
Volume Information:  volume 103, pages 2455–2473 (2018)
Paper Link:   https://link.springer.com/article/10.1007/s11277-018-5937-5