• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Arabian Journal for Science and Engineering. Section A, Sciences >Fuzzy-based Clustering Scheme with Sink Selection Algorithm for Monitoring Applications of Wireless Sensor Networks
【24h】

Fuzzy-based Clustering Scheme with Sink Selection Algorithm for Monitoring Applications of Wireless Sensor Networks

机译：基于模糊的聚类方案，具有用于监控无线传感器网络应用的沉降选择算法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Wireless sensor networks (WSNs) are predominantly used for monitoring applications. The sensor nodes are resource-constrained devices, and hence efficient energy utilization of these nodes is one of the major challenges. The communication distances directly impact on the energy consumption of the sensor nodes. Clustering methods are popularly used to reduce communication distances and prolong the network lifetime. Multi-sink deployment is another method to reduce communication distances. It also resolves congestion and hotspot issues. In multi-sink WSNs, the number of sinks to be considered is a challenging task as it affects the network topology, lifetime and deployment cost. In this research work,multi-sink deployment and clustering scheme with sink selection algorithm are jointly proposed to maximize the network lifetime and minimize the deployment cost. An iterative filtering model is proposed to estimate optimal number of sinks, while sink positions are determined based on Fuzzy logic inference system (FLIS). Fuzzy-c-means algorithm is used to form balanced clusters in the network. Cluster representative and sink selection processes are based on FLIS. The proposed optimal multi-sink deployment scheme reduces the deployment cost and the propagation delay of the system, while enhancing the network lifetime. The proposed scheme is also energy efficient in the case of higher node density. Hence, the proposed scheme can be suitably implemented for large-scale monitoring applications of WSNs.
机译：无线传感器网络（WSN）主要用于监控应用。传感器节点是资源受限的设备，因此这些节点的有效能量利用是主要挑战之一。通信距离直接影响传感器节点的能量消耗。聚类方法普遍用于减少通信距离并延长网络寿命。多水槽部署是另一种减少通信距离的方法。它还解决了拥塞和热点问题。在多水槽WSN中，要考虑的汇位的数量是一个具有挑战性的任务，因为它会影响网络拓扑，寿命和部署成本。在本研究工作中，共同提出了具有沉积选择算法的多汇部署和聚类方案，以最大化网络寿命并最小化部署成本。提出了一种迭代滤波模型来估计最佳数量的沉积物，而基于模糊逻辑推断系统（FLIS）确定接收位置。模糊-C均值算法用于在网络中形成平衡集群。集群代表和宿选择过程基于FLIS。所提出的最佳多载部署方案降低了系统的部署成本和传播延迟，同时增强了网络寿命。在较高节点密度的情况下，所提出的方案也是节能。因此，可以适用于WSN的大规模监控应用来适当地实施该方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号