Energy Efficient clustering in Heterogeneous Wireless Sensor Networks using Degree of Connectivity
Ajay Sikandar, Sushil Kumar · International journal of Computer Networks & Communications · 2015
Cluster head election is a key technique used to reduce energy consumption and enhancing the throughput of wireless sensor networks.In this paper, a new energy efficient clustering (E2C) protocol for heterogeneous wireless sensor networks is proposed.Cluster head is elected based on the predicted residual energy of sensors, optimal probability of a sensor to become a cluster head, and its degree of connectivity as the parameters.The probability threshold to compete for the role of cluster head is derived.The probability threshold has been extended for multi-levels energy heterogeneity in the network.The proposed E2C protocol is simulated in MATLAB.Results obtained in the simulationshowthat performance of the proposed E2Cprotocol is betterthan stable election protocol (SEP), and distributed energy efficient clustering (DEEC) protocol in terms of energy consumption, throughput, and network lifetime.