An Energy Efficient Load Balancing Protocol for Multi-Hop Clustering in Wireless Sensor Network
M.Jeyakarthic1, S.Manikandan2

1Dr, M. Jeyakarthc*, Assistant Director (Academic), Tamil Virtual Academy, Anna University Campus, Chennai, India.
2S.Manikandan, Assistant Professor, Department of Computer Applications, Government Thirumagal Mills College, Gudiyattam, Vellore, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 2270-2275 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B3517129219/2019©BEIESP | DOI: 10.35940/ijeat.B3517.129219
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Abstract: Cluster based WSNs is a rising and empowering technical knowledge with the achievable to revolutionize Data Communication Technology. The purpose of WSN stretch out to diverse areas such as the security and surveillance, Medical and Health, Military related application, Agriculture, Entertainment and so on. In wireless sensor networks (WSNs), the sensor nodes are highly distributed in order to sense and transform information to base station. However, the major challenge in WSN is to avoid collision and energy dissipation due to redundant data and thereby extending the network lifetime. To address this issue, a novel energy efficient load balancing protocol (EELB) for data forwarding in multi-hop clustering based WSN is proposed. EELB is a hierarchal cluster-based protocol which schedules the sensor nodes to different modes namely sleep mode and active mode by probing the data transformed to decrease energy consumption effectively. A sensor node is set to sleep mode when it senses and transfers redundant data for an extended time. The other sensor nodes remain enabled in active mode for sensing and transmission of data packets. Also, the proposed protocol selects a reliable cluster head based on remaining residual energy level and trust value of each node. The Simulation outcomes depicts that the proposed EELB protocol performs well than conventional protocol with respect to average energy consumption, lifetime of nodes and the Packet Delivery Ratio.
Keywords: Clustering, Load balancing, Scheduling, Sensor node.