Abstract

The Low-Efficiency Adaptive Clustering Hierarchical (LEACH) protocol, a hierarchical routing protocol, has the advantage of simple implementation and can effectively balance network loads. However, to date there has been a lack of consideration for its use in heterogeneous energy network environments. To solve this problem, the Energy-Coverage Ratio Clustering Protocol (E-CRCP) is proposed, which is based on reducing the energy consumption of the system and utilizing the regional coverage ratio. First, the energy model is designed. The optimal number of clusters is determined based on the principle of “minimum energy consumption”, and the cluster head selection is based on the principle of “regional coverage maximization”. In order to balance the network load as much as possible, in the next iteration of cluster head selection, the cluster head with the lowest residual energy and the highest energy consumption is replaced to prolong the network’s life. Our simulated results demonstrate that the proposed method has some advantages in terms of longer network life, load balancing, and overall energy consumption in the environment of a heterogeneous energy wireless sensor network.

Highlights

  • Wireless sensor networks are complex and changeable working environments, and they require a large number of sensor nodes to complete measurement tasks cooperatively [1]

  • In view of the above problems, we propose a clustering protocol that can be applied to a heterogeneous energy wireless sensor network, the Energy-Coverage Ratio Clustering Protocol (E-CRCP)

  • A cluster head (CH) selection protocol (E-CRCP), which is effectively applied to heterogeneous energy wireless sensor networks, is proposed as the solution to the CH selection problem in wireless sensor networks

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Summary

A Heterogeneous Energy Wireless Sensor Network Clustering Protocol

Received 10 October 2018; Revised 6 March 2019; Accepted 19 May 2019; Published 26 May 2019. To date there has been a lack of consideration for its use in heterogeneous energy network environments. To solve this problem, the Energy-Coverage Ratio Clustering Protocol (ECRCP) is proposed, which is based on reducing the energy consumption of the system and utilizing the regional coverage ratio. In order to balance the network load as much as possible, in the iteration of cluster head selection, the cluster head with the lowest residual energy and the highest energy consumption is replaced to prolong the network’s life. Our simulated results demonstrate that the proposed method has some advantages in terms of longer network life, load balancing, and overall energy consumption in the environment of a heterogeneous energy wireless sensor network

Introduction
System Model
Simulation Analysis
Conclusions
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