A novel biased energy distribution (BED) scheme for clustering sensor networks

A. Salami, F. Anwar, H. Bello-Salau, A. Aibinu
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引用次数: 2

Abstract

This paper presents the impact of utilizing a biased energy distribution (BED) scheme among sensor nodes for clustering sensor networks. In clustering sensor networks, some of the nodes are elected as aggregators and they compress the data from their cluster members before sending the aggregated data to the sink. Existing clustering routing protocols assume that all the nodes are provided with equal amount of energy but this shortens the network lifetime and makes the network unstable once the first node dies. This paper proposes a solution by using a technique that prioritizes the network into higher and lower energy nodes. The aim of this approach is to ensure well balanced energy consumption in order to maximize network lifetime. It is shown by simulation that the proposed technique exhibits better performance when compared to existing clustering routing techniques in terms of throughput, network lifetime and energy consumption.
一种新的传感器网络的偏置能量分布(BED)算法
本文介绍了在传感器节点间使用有偏能量分布(BED)方案对传感器网络聚类的影响。在聚类传感器网络中,一些节点被选为聚合器,它们在将聚合后的数据发送到sink之前对其集群成员的数据进行压缩。现有的集群路由协议假设为所有节点提供相同的能量,但这缩短了网络的生命周期,并且一旦第一个节点死亡,网络就会变得不稳定。本文提出了一种解决方案,采用一种技术,将网络优先划分为高、低能量节点。这种方法的目的是确保均衡的能源消耗,以最大化网络生命周期。仿真结果表明,与现有的集群路由技术相比,该技术在吞吐量、网络生命周期和能耗方面表现出更好的性能。
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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