首页> 外文会议>International Conference on Information Communication and Embedded Systems >Increasing lifespan and achieving energy efficiency of wireless sensor network
【24h】

Increasing lifespan and achieving energy efficiency of wireless sensor network

机译:增加寿命和实现无线传感器网络的能效

获取原文

摘要

The wireless sensor network is designed to install the smart network application or network for emergency solution, where human interaction is not possible. WSN consists of many sensors to monitor physical or environmental conditions, such as health state monitoring, military applications, temperature, sound, pressure, motion or pollutants and to cooperatively transfer the data through network to a central location. The main constraint of WSN are low power and minimum processing. The nodes in WSN have to self organize as per the users requirements to monitor environments. The sensor nodes are deployed in an unreachable location for particular mission, it is difficult to exchange or recharge the nodes battery. To increase the lifespan of Wireless Sensor Network, well-organized utilization of power is required. This paper present mechanism for Cluster head selection using basic information of node and objective function. In all algorithms, data processing is done at the Cluster Head(CH) which use huge amount of energy because energy consumption depends upon the length of the packet which is transmitted and the distance between nodes to CHs and CH to BS. The proposed work minimizes the length of the packet by processing the data at the node. Furthermore We emphasize on Node state switching mechanism which helps to increase the lifespan of WSN.
机译:无线传感器网络旨在为应急解决方案安装智能网络应用或网络,其中不可能。 WSN由许多传感器组成,以监测物理或环境条件,例如健康状态监测,军事应用,温度,声音,压力,运动或污染物,并协同通过网络通过网络转移到中心位置。 WSN的主要约束是低功耗和最小处理。 WSN中的节点必须根据用户要求自我组织,以监视环境。传感器节点部署在特定任务的无法到达位置,难以交换或充电节点电池。为了增加无线传感器网络的寿命,需要良好组织的电力利用。本文使用节点和目标函数的基本信息存在群集头选择机制。在所有算法中,数据处理都在使用大量能量的群集头(CH)处完成,因为能量消耗取决于传输的分组的长度,并且节点之间的节点与CHS到B到BS之间的距离。所提出的工作通过在节点处处理数据来最小化数据包的长度。此外,我们强调节点状态切换机制,有助于增加WSN的寿命。

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