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Zone Divisional Approach for Energy Balanced Clustering Protocol in Wireless Sensor Network

Published: 19 July 2017 Publication History

Abstract

Cluster based routing protocols are key factors in wireless sensor network to extend the metric of network lifetime. Recently applied clustering routing algorithms have shown their limitation in prolonging the network lifespan due to the requirement of impartial distribution of dissipated energy in order to extend the lifetime of the sensor node. In this paper, we proposed a zone divisional approach for energy balanced clustering routing protocol for the purpose of maximizing the lifespan and lengthening the stability period in sensor networks. The proposed protocol provides adequately a well cluster heads (CHs) repartition in the network and creates properly cluster heads based on residual energy to minimize the energy consumption of the sensor nodes. An efficient comparison of the proposed approach with Low-Energy Adaptive Clustering Hierarchy (LEACH) and Energy Efficient Zone Clustering (EZone) protocols is performed. Simulation results show that the proposed approach improves the network lifetime and extends the stability period.

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Cited By

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  • (2022)Balanced Graph Cut With Exponential Inter-Cluster CompactnessIEEE Transactions on Artificial Intelligence10.1109/TAI.2021.31231263:4(498-505)Online publication date: Aug-2022
  • (2019)Energy-Efficient and Coverage-Guaranteed Unequal-Sized Clustering for Wireless Sensor NetworksIEEE Access10.1109/ACCESS.2019.29502377(157883-157891)Online publication date: 2019
  • (2018)Energy-Balancing Unequal Clustering Approach to Reduce the Blind Spot Problem in Wireless Sensor Networks (WSNs)Sensors10.3390/s1812425818:12(4258)Online publication date: 4-Dec-2018
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      cover image ACM Other conferences
      ICFNDS '17: Proceedings of the International Conference on Future Networks and Distributed Systems
      July 2017
      325 pages
      ISBN:9781450348447
      DOI:10.1145/3102304
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 19 July 2017

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      Author Tags

      1. Clustering approach
      2. Energy efficiency
      3. Wireless Sensor Network
      4. Zone divisional approach

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      Cited By

      View all
      • (2022)Balanced Graph Cut With Exponential Inter-Cluster CompactnessIEEE Transactions on Artificial Intelligence10.1109/TAI.2021.31231263:4(498-505)Online publication date: Aug-2022
      • (2019)Energy-Efficient and Coverage-Guaranteed Unequal-Sized Clustering for Wireless Sensor NetworksIEEE Access10.1109/ACCESS.2019.29502377(157883-157891)Online publication date: 2019
      • (2018)Energy-Balancing Unequal Clustering Approach to Reduce the Blind Spot Problem in Wireless Sensor Networks (WSNs)Sensors10.3390/s1812425818:12(4258)Online publication date: 4-Dec-2018
      • (2018)Heterogeneous-Aware Distributed Clustering for Wireless Sensor Networks2018 IEEE International Conference on Electro/Information Technology (EIT)10.1109/EIT.2018.8500313(0012-0017)Online publication date: May-2018

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