无线传感器网络LEACH、TL-LEACH和EHCA算法的比较分析

S. S. Jayanna, Praveena K S, K. Bhargavi, M. Sahana, S. Tejaswini, D. J. Chaithanya
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引用次数: 0

摘要

wsn由密集的地理区域组成,其中有许多传感器节点(SNs),每个传感器节点检测数据并将其发送给基站(BS)。为了延长不同WSN应用中SNs的使用寿命,需要降低每个传感器节点的能量利用率,从而提高其性能。为了减少能量的消耗,提出了一种新的分层聚类方法,即能量多的节点聚集信息并路由到BS。本文利用MATLAB软件对低能量自适应分层聚类算法(LEACH)、三层聚类算法(TL-LEACH)和增强型分层聚类算法(EHCA)等WSN聚类算法进行了仿真和比较。SNs和BSs定位在200×200 m2的地理区域内,模拟能量利用1000轮。仿真结果表明,EHCA算法更节能,从而提高了网络的生存期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comparative Analysis of LEACH, TL-LEACH and EHCA Algorithms for Wireless Sensor Networks (WSNs)
WSNs are made up of a dense geographical area in which many sensor nodes (SNs) are positioned, each of which detects data and sends it to the base station (BS). To extend the lifespan of SNs for different WSN applications, there is a need to reduce the energy utilization of each sensor node which increases its performance. A new approach called the Hierarchical clustering approach is made use of to reduce the usage of energy in which the node with more energy aggregates the information and route to the BS. In this paper, the Clustering algorithms like Low-energy adaptive clustering hierarchy algorithm (LEACH), Three-Layer LEACH (TL-LEACH), and Enhanced Hierarchical Clustering algorithm (EHCA) for WSN were simulated and compared using MATLAB software. The SNs and BSs are positioned in a 200×200 m2 geographical area, and the energy utilization is simulated for 1000 rounds. Based on the simulation results, the EHCA algorithm is found to be more energy-efficient, which in turn increases the network lifetime.
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