以数据为中心的无线传感器网络簇头选择方案

V. Pal, G. Singh, R. Yadav
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引用次数: 12

摘要

能量效率是无线传感器网络协议设计的主要问题。节点聚类是传感器网络的一种节能方法。在聚类算法中,节点被分成独立的簇,每个簇有一个簇头。在基站收集的数据单位取决于网络的寿命。簇头选择是影响聚类方案能效的一个重要问题。簇内通信距离取决于簇头在簇内的位置。本文提出了一种新的簇头选择方案。该方案可以在任何分布式聚类方案中实现。在本方案中,网络区域分为边界区域和内部区域两部分。方案限制簇头选择仅在内部区域节点。在NS-2中利用LEACH对方案进行了实现和仿真。仿真结果表明,该方案在网络寿命和数据采集速率方面明显优于LEACH。
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Cluster head selection scheme for data centric wireless sensor networks
Energy efficiency is main design issue for protocols of wireless sensor networks. Node clustering is an energy efficient approach for sensor networks. In clustering algorithms, nodes are grouped into independent clusters and each cluster has a cluster head. Data units gathered at base station depends upon lifetime of network. Cluster head selection is an important issue for energy efficiency of clustering schemes. Intra cluster communication distance depends upon position of cluster head in cluster. In this paper, a new cluster head selection scheme is proposed. Proposed scheme can be implemented with any distributed clustering scheme. In proposed scheme, network area is divided into two parts: border area and inner area. Scheme restricts cluster head selection to only inner area nodes. Scheme is implemented and simulated with LEACH in NS-2. Simulation shows that proposed scheme significantly outperform LEACH for network lifetime and data gathering rate.
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