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A Decentralized Fuzzy C-Means-Based Energy-Efficient Routing Protocol for Wireless Sensor Networks

机译:无线传感器网络的基于分散模糊C均值的节能路由协议

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摘要

Energy conservation in wireless sensor networks (WSNs) is a vital consideration when designing wireless networking protocols. In this paper, we propose a Decentralized Fuzzy Clustering Protocol, named DCFP, which minimizes total network energy dissipation to promote maximum network lifetime. The process of constructing the infrastructure for a given WSN is performed only once at the beginning of the protocol at a base station, which remains unchanged throughout the network's lifetime. In this initial construction step, a fuzzy C-means algorithm is adopted to allocate sensor nodes into their most appropriate clusters. Subsequently, the protocol runs its rounds where each round is divided into a CH-Election phase and a Data Transmission phase. In the CH-Election phase, the election of new cluster heads is done locally in each cluster where a new multicriteria objective function is proposed to enhance the quality of elected cluster heads. In the Data Transmission phase, the sensing and data transmission from each sensor node to their respective cluster head is performed and cluster heads in turn aggregate and send the sensed data to the base station. Simulation results demonstrate that the proposed protocol improves network lifetime, data delivery, and energy consumption compared to other well-known energy-efficient protocols.
机译:在设计无线网络协议时,无线传感器网络(WSN)的节能是至关重要的考虑因素。在本文中,我们提出了一种名为DCFP的分散式模糊聚类协议,该协议可最大程度地减少总网络能耗,从而延长网络的使用寿命。在基站的协议开始时,为给定WSN构建基础结构的过程仅执行一次,而在整个网络的生命周期中,其保持不变。在此初始构建步骤中,采用模糊C均值算法将传感器节点分配到其最合适的群集中。随后,协议运行其各回合,其中每一回合都分为CH选举阶段和数据传输阶段。在CH选举阶段,每个集群中都将在本地进行新集群首长的选举,并提出了新的多准则目标函数以提高选举产生的集群首长的质量。在数据传输阶段,执行从每个传感器节点到它们各自的簇头的感测和数据传输,簇头依次汇总并将感测到的数据发送到基站。仿真结果表明,与其他众所周知的节能协议相比,该协议可以提高网络寿命,数据传输和能耗。

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  • 作者

    Osama Mohd Alia;

  • 作者单位
  • 年(卷),期 -1(2014),-1
  • 年度 -1
  • 页码 647281
  • 总页数 9
  • 原文格式 PDF
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