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首页> 外文期刊>International Journal of Distributed Sensor Networks >A Hybrid Energy- and Time-Driven Cluster Head Rotation Strategy for Distributed Wireless Sensor Networks
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A Hybrid Energy- and Time-Driven Cluster Head Rotation Strategy for Distributed Wireless Sensor Networks

机译:分布式无线传感器网络的能量和时间驱动的混合簇头旋转策略

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Clustering provides an effective way to extend the lifetime and improve the energy efficiency of wireless sensor networks (WSNs). However, the cluster heads will deplete energy faster than cluster members due to the additional tasks of information collection and transmission. The cluster head rotation among sensors is adopted to solve this problem. Cluster head rotationstrategies can be generally divided into two categories: time-driven strategy and energy-driven strategy. The time-driven strategy can balance energy consumption better, but it is not suitable for heterogonous WSNs. The energy-driven cluster head rotation strategy has high energy efficiency, especially in heterogonous networks. However, the rotation will become increasingly frequent with the reduction of the nodes residual energy for this strategy, which causes lots of energy waste. In this paper, we propose a hybrid cluster head rotation strategy which combines the advantages of both energy-driven and time-driven cluster head rotation strategies. In our hybrid rotation strategy, the time-driven strategy or energy-driven strategy will be selected according to the residual energy. Simulations show that the hybrid strategy can enhance the energy efficiency and prolong network lifetime in both homogeneous and heterogeneous networks, compared with either single time-driven or energy-driven cluster head rotation method.
机译:群集提供了一种有效的方法来延长使用寿命并提高无线传感器网络(WSN)的能效。但是,由于信息收集和传输的附加任务,群集头的耗能将比群集成员快。采用传感器之间的簇头旋转来解决这个问题。群集头旋转策略通常可分为两类:时间驱动策略和能源驱动策略。时间驱动策略可以更好地平衡能耗,但不适用于异构WSN。能量驱动的簇头旋转策略具有很高的能量效率,尤其是在异构网络中。但是,随着该策略节点的剩余能量减少,旋转将变得越来越频繁,这会导致大量能源浪费。在本文中,我们提出了一种混合式簇头旋转策略,该策略结合了能量驱动和时间驱动的簇头旋转策略的优点。在我们的混合循环策略中,将根据剩余能量选择时间驱动策略或能量驱动策略。仿真结果表明,与单一时间驱动或能量驱动的簇头旋转方法相比,混合策略可以在同构和异构网络中提高能源效率并延长网络寿命。

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