Publication | Open Access
Evaluation of Clustering Parameters in WSN Fields Using Distributed Zone-Based Approach
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2015
Year
Cluster ComputingEngineeringWireless Sensor SystemEnergy EfficiencyNetwork AnalysisSensor ConnectivityCluster TechnologyRapid Cluster FormationData ScienceDistributed Clustering ApproachSystems EngineeringEnergy-efficient CommunicationTopology ControlElectrical EngineeringEnergy HarvestingComputer EngineeringWireless NetworkingCollaborative Sensor NetworkWireless Sensor NetworksProtocol EfficiencyMulti-hop RoutingResource OptimizationEnergy-efficient Networking
Wireless sensor network (WSN) is a low-powered network formed by the sensor nodes that finds application in civilian, military, visual sense models, and many others. Improved network lifetime is an important task to be achieved by these sensor networks. In this paper, a methodology for evaluation of clustering efficiency, routing efficiency, energy efficiency, and the lifetime of two dense wireless sensor network fields — using a distributed clustering approach, the hybrid energy efficient clustering algorithm (HEECA) — was proposed, which mainly targeted effectively prolonging the lifetime of wireless sensor networks. It is a well-distributed and energy-efficient clustering algorithm that employs three novel techniques: zone based transmission power (ZBTP), routing using distributed relay nodes (DRNs), and rapid cluster formation (RCF). The proposed scheme was compared with two well-evaluated existing distributed clustering algorithms, O-LEACH and HEED. Simulation results clearly showed an excellent improvement in remaining energy, throughput, routing efficiency, and energy efficiency of the entire wireless sensor system. The clustering process was effectively controlled, thereby the number of cluster heads selection and the number of packets delivered to the base station was also found to be effective. Ultimately, the overall lifetime of the wireless sensor network was improved when compared to the two existing distributed clustering algorithms.