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首页> 外文会议>IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology >Grid-based Multi-clustering Protocol for Wireless Sensor Network using Sugeno Fuzzy Inference System
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Grid-based Multi-clustering Protocol for Wireless Sensor Network using Sugeno Fuzzy Inference System

机译：基于网格的无线传感器网络使用Sugeno模糊推理系统的多聚类协议

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In wireless sensor network, clustering-based data gathering is an important approach for achieving energy efficiency. In the existing clustering algorithm, either cluster heads are selected in each round or after a fixed number of rounds of data collection. Selection of cluster head in each round causes more communication overhead in the network. However, selection of cluster head after a fixed number of rounds causes premature death of overloaded cluster head and unbalanced energy consumption among the nodes. In order to solve premature death of cluster head as well as unbalanced energy consumption, this paper proposes a Grid-based multi-clustering protocol using sugeno fuzzy inference system. Performance evaluation of the proposed protocol and its comparison with the three well-known clustering protocols are presented in detail.
机译：在无线传感器网络中，基于聚类的数据收集是实现能源效率的重要方法。在现有的聚类算法中，在每轮或固定数量的数据集合之后选择群集头。每个轮中的聚类头部选择导致网络中的更多通信开销。然而，在固定数量的轮次后，聚类头部选择过载的簇头的过早死亡，节点之间的不平衡能量消耗。为了解决簇头的过早死亡以及不平衡的能耗，本文提出了一种使用Sugeno模糊推理系统的基于网格的多聚类协议。详细介绍了所提出的协议的性能评估及其与三种众所周知的聚类协议的比较。

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