首页> 外文期刊>Computing >A load balanced location service for location information management of multi-sink Wireless Sensor Networks
【24h】

A load balanced location service for location information management of multi-sink Wireless Sensor Networks

机译:负载均衡的位置服务,用于多宿无线传感器网络的位置信息管理

获取原文
获取原文并翻译 | 示例

摘要

In many applications of Wireless Sensor Networks (WSNs), the network has a few mobile sinks in addition to a large number of static sensor nodes that gather information from their surrounding environment. The static sensor nodes in such applications use a location service to find the location of a mobile sink. Most of the proposed location services are useful in mobile ad hoc networks and are not efficient for WSNs. Furthermore, new protocols specifically designed for WSNs are not load balanced. Some sensor nodes relay more packets and deplete their energy quickly, hence reducing the network lifetime dramatically. In this paper, we propose a location service called Load Balanced Location Service (LBLS) for WSNs containing a few mobile sinks. LBLS selects four nodes in the network outline and only uses the location of these nodes. LBLS do not deplete the energy of specific nodes comparing to other mechanisms that forward location information messages toward selected nodes. We formally prove that in LBLS every sensor node can always locate any mobile node in the network. By using exhaustive simulation, we show that LBLS is a load balanced location service. Simulation results demonstrate the superiority of LBLS regarding the load balancing factor compared to most available related location services.
机译:在无线传感器网络(WSN)的许多应用中,该网络除了具有大量的静态传感器节点以外,还从周围环境中收集信息,因此还有一些移动接收器。在此类应用程序中,静态传感器节点使用位置服务来查找移动接收器的位置。大多数提议的位置服务在移动自组织网络中很有用,而对WSN而言效率不高。此外,专门为WSN设计的新协议没有负载均衡。一些传感器节点中继更多的数据包并迅速消耗能量,从而大大缩短了网络寿命。在本文中,我们为包含一些移动接收器的WSN提出了一种称为负载平衡位置服务(LBLS)的位置服务。 LBLS在网络轮廓中选择四个节点,并且仅使用这些节点的位置。与向选定节点转发位置信息消息的其他机制相比,LBLS不会消耗特定节点的能量。我们正式证明在LBLS中,每个传感器节点都可以始终定位网络中的任何移动节点。通过使用穷举模拟,我们表明LBLS是负载平衡的位置服务。仿真结果表明,与大多数可用的相关位置服务相比,LBLS在负载均衡因子方面的优越性。

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