首页> 外文会议>2018 11th International Symposium on Communication Systems, Networks amp; Digital Signal Processing >A new Clustering algorithm for an Energy Efficient WSN that Monitors HVTTs: Modified Multi Clustering
【24h】

A new Clustering algorithm for an Energy Efficient WSN that Monitors HVTTs: Modified Multi Clustering

机译:用于监控HVTT的高能效WSN的新聚类算法:修正的多聚类

获取原文
获取原文并翻译 | 示例

摘要

In this paper, a new clustering algorithm is developed to design an energy efficient Wireless Sensor Network (WSN) for monitoring High Voltage Transmission Towers (HVTTs), Modified Multi Clustering (MMC) algorithm. MMC algorithm optimizes communication distance between routing nodes and the data traffic in the network. To design a WSN based on MMC algorithm, a RF transceiver that can reach long distances such as 10 km is needed. So, Long Range (LoRa) transceivers are considered for this paper, and electrical characteristics of Microchip RN293 LoRa transceiver are used to realize simulations of WSN designs based on MMC algorithm. The Classic Clustering (CC) algorithm is considered to compare energy efficiency, so the second WSN is designed by using the CC algorithm. Simulations shows that the maximum overall energy required per day for a single HVTT in a network of 100 HVTTs is 10.76 Joules per day for the WSN design based on MMC algorithm, and the maximum overall energy required per day for a single HVTT in a network of 100 HVTTs is 19.90 Joules per day for the WSN design based on the CC algorithm.
机译:在本文中,开发了一种新的聚类算法,以设计用于监视高压输电塔(HVTT)的高效节能无线传感器网络(WSN),改进的多聚类(MMC)算法。 MMC算法优化了路由节点与网络中数据流量之间的通信距离。为了设计基于MMC算法的WSN,需要可以到达10 km等长距离的RF收发器。因此,本文考虑了远程(LoRa)收发器,并利用Microchip RN293 LoRa收发器的电气特性来实现基于MMC算法的WSN设计的仿真。考虑使用经典聚类(CC)算法比较能源效率,因此使用CC算法设计了第二个WSN。仿真显示,对于基于MMC算法的WSN设计,在100个HVTT的网络中,单个HVTT所需的最大每日总能量为每天10.76焦耳,而在HVTT网络中,单个HVTT所需的每日最大总所需能量为。对于基于CC算法的WSN设计,每天100 HVTT为19.90焦耳。

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