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首页> 外文期刊>International journal of business data communications and networking >Enhancing Clustering in Wireless Sensor Networks with Energy Heterogeneity
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Enhancing Clustering in Wireless Sensor Networks with Energy Heterogeneity

机译：通过能量异质性增强无线传感器网络中的群集

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摘要

While wireless sensor networks (WSN) are increasingly equipped to handle more complex functions, in-network processing still requires the battery-powered sensors to judiciously use their constrained energy so as to prolong the elective network life time. There are a few protocols using sensor clusters to coordinate the energy consumption in a WSN, but how to deal with energy heterogeneity remains a research question. The authors propose a modified clustering algorithm with a three-tier energy setting, where energy consumption among sensor nodes is adaptive to their energy levels. A theoretical analysis shows that the proposed modifications result in an extended network stability period. Simulation has been conducted to evaluate the new clustering algorithm against some existing algorithms under different energy heterogeneity settings, and favourable results are obtained especially when the energy levels are significantly imbalanced.
机译：尽管无线传感器网络（WSN）越来越具备处理更复杂功能的能力，但网络内处理仍然需要电池供电的传感器明智地使用其受约束的能量，以延长选择性网络的使用寿命。有几种协议使用传感器集群来协调WSN中的能耗，但是如何处理能量异质性仍然是一个研究问题。作者提出了一种具有三层能量设置的改进的聚类算法，其中传感器节点之间的能量消耗适应其能量水平。理论分析表明，所提出的修改会导致网络稳定期延长。针对不同能量异质性设置下现有的一些算法，进行了仿真评估新的聚类算法，并获得了良好的效果，尤其是在能量水平明显不平衡的情况下。

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