Improved Enhanced Distributed Energy Efficient Clustering (iE-DEEC) Scheme for heterogeneous Wireless Sensor Network

F. Jibreel
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引用次数: 10

Abstract

Wireless Sensor Networks (WSNs) contain thousands of sensor nodes which are capable of conveying sensed and captured data from any deployment area to another well –resourced node called the Base station for analysis. Due to the ability of the sensor nodes to relay data from one place to the other, they are found applicable in several areas such as environmental monitoring, military surveillance and home intelligence. The operation of the heterogeneous routing algorithm, E-DEEC (Enhanced Distributed Energy-Efficient Clustering) for heterogeneous networks has been observed carefully. The E-DEEC scheme improved the DEEC algorithm by introducing other nodes called supernodes. It was realized that E-DEEC did not consider the proximity of the advanced nodes to the Base station in its election probabilities. This compelled the supernodes with higher residual energy but far from the Base station to dissipate a large amount of energy in conveying their reports to the Base station. In this research work, an improved heterogeneous algorithm, iE-DEEC, is proposed. The new scheme considered the distance of supernodes and the average distance of the nodes to the Base station (BS) in selecting the cluster heads (CHs). Also, different amplification energy levels have been implemented in this protocol to minimize the energy consumption during the communication between the CHs and BS and also between inter and intra cluster communication. MatLab 2017a was used for simulation to evaluate the performance of the new scheme and the existing protocol. The simulation results showed that the proposed protocol performed better than E-DEEC in terms of throughputs, residual energy and network lifetime.
异构无线传感器网络中改进的增强分布式能效聚类(iE-DEEC)方案
无线传感器网络(wsn)包含数千个传感器节点,这些节点能够从任何部署区域将感知和捕获的数据传输到另一个资源充足的节点(称为基站)进行分析。由于传感器节点能够将数据从一个地方中继到另一个地方,因此它们适用于环境监测,军事监视和家庭智能等多个领域。研究了异构路由算法E-DEEC (Enhanced Distributed efficient Clustering)在异构网络中的运行情况。E-DEEC方案通过引入超节点来改进DEEC算法。人们认识到,E-DEEC在其选举概率中没有考虑先进节点与基站的接近程度。这迫使剩余能量较高但距离基站较远的超级节点在向基站传送报告时耗散大量能量。在本研究中,提出了一种改进的异构算法- iE-DEEC。该方案考虑了超级节点的距离和节点到基站的平均距离来选择簇头。此外,该协议中还实现了不同的放大能级,以最大限度地减少CHs和BS之间以及集群间和集群内通信期间的能量消耗。利用MatLab 2017a进行仿真,对新方案和现有协议的性能进行了评估。仿真结果表明,该协议在吞吐量、剩余能量和网络寿命方面都优于E-DEEC协议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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