...
首页> 外文期刊>Journal of Theoretical and Applied Information Technology >ALGORITHM FOR ENERGY EFFECIENCY AND LIFETIME OPTIMIZATION IN WIRELESS SMART SENSORS NETWORK
【24h】

ALGORITHM FOR ENERGY EFFECIENCY AND LIFETIME OPTIMIZATION IN WIRELESS SMART SENSORS NETWORK

机译:无线智能传感器网络中的能源效率和寿命优化算法

获取原文
           

摘要

Wireless sensor network (WSN) is a wirelessly interconnected network; it has increased massively due to the vast potential of smart wireless sensors to connect the physical globe with the virtual globe. Sensor nodes are used for monitoring and tracking fields they sense many environment conditions such as vibration, temperature, speed and even pollution level and many other such environmental conditions. Thus it's quite common to deploy WSs in hostile environments where there are no electricity sources so SN get powered from its battery and this battery get evacuated with time. However decreasing power energy consumption in WSN is one of the most essential keys to challenge WSN lifespan, hence Low energy adaptive clustering hierarchical routing protocol (LEACH) has been suggested to enhance network lifespan. This protocol is based on clustering technique; each cluster of the network has cluster members CMs and one chief cluster named cluster head CH responsible for routing data to the BS. In this paper, we will present an algorithm based on LEACH to optimize energy efficiency level and improve life time of the WSN, Moreover, a comparison of this algorithm and the pure LEACH is being done. Finally simulation results shows that the proposed protocol beats pure LEACH in terms of network power consumption saving and network lifetime.
机译:无线传感器网络(WSN)是无线互连的网络;由于智能无线传感器将物理地球仪与虚拟地球仪连接的巨大潜力,它的数量已大大增加。传感器节点用于监视和跟踪它们感测许多环境条件的领域,例如振动,温度,速度甚至污染水平以及许多其他此类环境条件。因此,将WS部署在没有电源的敌对环境中非常普遍,因此SN由其电池供电,并且该电池会随着时间而被抽空。然而,减少WSN中的功耗是挑战WSN寿命的最重要的关键之一,因此,有人提出了低能耗自适应集群分层路由协议(LEACH)来延长网络寿命。该协议基于集群技术。网络的每个群集都有群集成员CM和一个名为群集头CH的主群集,负责将数据路由到BS。在本文中,我们将提出一种基于LEACH的算法,以优化能效水平并延长WSN的使用寿命,并且,将该算法与纯LEACH进行了比较。最后的仿真结果表明,该协议在节省网络功耗和网络寿命方面均优于纯LEACH。

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