ECTC: Energy effiCient topology control algorithm for wireless sensor networks

N. Ababneh, Anastasios Viglas, H. Labiod, N. Boukhatem
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引用次数: 33

Abstract

Sensor network which operates on battery are used to gather data in a variety of environments. The data collected by each node is communicated through the network to the sink, which uses all reported data to determine characteristics of the environment or detect an event. Prolonging sensor's operable lifetime is a main design challenge of these networks. A good energy saving technique in this direction is to schedule nodes sleep interval with the communication radio turned off. In this paper, we propose a distributed topology control algorithm, termed ECTC, which uses a clustering approach. It is built on the notion that when a region of a shared channel wireless sensor network has a sufficient density of nodes, significant energy saving is obtained by allowing redundant nodes to sleep. Using the two-hop neighborhood information, certain nodes sequentially select a subset of nodes to be active among all nodes in the neighborhood, to ensure connectivity. Moreover, to ensure fairness, the role of active nodes is rotated periodically to ensure energy-balanced operations. Results from stochastic geometry are used to derive solutions for the values of parameters of our algorithm that minimize the total energy spent in the network when all sensor nodes report data through the cluster heads to the sink.
无线传感器网络的节能拓扑控制算法
以电池为动力的传感器网络用于在各种环境中收集数据。每个节点收集的数据通过网络传送到接收器,接收器使用所有报告的数据来确定环境的特征或检测事件。延长传感器的工作寿命是这些网络的主要设计挑战。在这个方向上,一个很好的节能技术是在关闭通信无线电的情况下安排节点睡眠间隔。在本文中,我们提出了一种分布式拓扑控制算法,称为ECTC,它使用聚类方法。它基于这样的概念:当共享信道无线传感器网络的一个区域具有足够的节点密度时,通过允许冗余节点休眠可以显著节省能源。使用两跳邻居信息,某些节点依次在邻居的所有节点中选择一个节点子集为活动节点,以确保连通性。此外,为了保证公平性,活动节点的角色定期轮换,保证能量均衡运行。当所有传感器节点通过簇头向接收器报告数据时,我们使用随机几何的结果来推导算法参数值的解,从而使网络中花费的总能量最小化。
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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