无线传感器网络中的簇头选择

IF 1.4 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Computational Science and Engineering Pub Date : 2015-03-30 DOI:10.26472/IJCES.V1I3.32
A. S. Raval
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引用次数: 2

摘要

无线传感器网络由多个分布式传感器节点组成。它用于几种环境应用、军事应用和与健康有关的应用。为了延长传感器节点的生命周期,设计高效的路由协议至关重要。在以数据为中心的无线传感器网络应用中,对节能数据采集的研究大多是由LEACH (Low energy Adaptive Clustering Hierarchy)方案推动的。它允许在传感器节点之间轮换簇头角色,并尝试在网络上分配能量消耗。这种角色旋转的传感器节点的选择对网络的能量效率有很大影响。一些路由协议的缺点是由于其局部簇头的随机旋转而导致集群分布不均匀。本文综述了无线传感器网络中现有的几种高效簇头选择方法。提出了一种节能的簇头选择方法,该方法减少了簇头选择和替换成本,最终提高了网络的生存期。与现有方法相比,该方法可提高网络的使用寿命。
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Cluster Head Selection for in Wireless Sensor Networks
Wireless sensor network consists of several distributed sensor nodes. It is used for several environmental applications, military applications and health related applications. To prolong the lifetime of the sensor nodes, designing efficient routing protocols is critical. Most of the research in energy efficient data gathering in data centric applications of wireless sensor networks is motivated by LEACH (Low Energy Adaptive Clustering Hierarchy) scheme. It allows the rotation of cluster head role among the sensor nodes and tries to distribute the energy consumption over the network. Selection of sensor node for such role rotations greatly affects the energy efficiency of the network. Some of the routing protocol has a drawback that the cluster is not evenly distributed due to its randomized rotation of local cluster head. We have surveyed several existing methods for selecting energy efficient cluster head in wireless sensor networks. We have proposed an energy efficient cluster head selection method in which the cluster head selection and replacement cost is reduced and ultimately the network lifetime is increased. Using our proposed method, network life time is increased compared to existing methods.
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来源期刊
International Journal of Computational Science and Engineering
International Journal of Computational Science and Engineering COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.00
自引率
40.00%
发文量
73
期刊介绍: Computational science and engineering is an emerging and promising discipline in shaping future research and development activities in both academia and industry, in fields ranging from engineering, science, finance, and economics, to arts and humanities. New challenges arise in the modelling of complex systems, sophisticated algorithms, advanced scientific and engineering computing and associated (multidisciplinary) problem-solving environments. Because the solution of large and complex problems must cope with tight timing schedules, powerful algorithms and computational techniques, are inevitable. IJCSE addresses the state of the art of all aspects of computational science and engineering with emphasis on computational methods and techniques for science and engineering applications.
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