期刊文献+

一种低功耗传感器网络节点及路由设计 被引量:3

A Low-power Sensor Network Nodes and Route Design
在线阅读 下载PDF
导出
摘要 针对无线传感器网络因电池供电而存在能量受限的问题,设计了一种低功耗无线传感器网络节点和一种分层单向路由算法。无线传感器网络节点由ARM低功耗微处理器STM32F103C6T6和SI4421射频无线收发芯片构成。分层单向路由将传感器节点与基站节点根据位置远近不同划分到不同的层,通过对无线传感器网络节点自身功率控制和无线数据选择最优路径降低节点功耗,延长无线传感器网络整体寿命。能耗仿真与组网试验表明,该设计数据传输可靠,且效率低。 The nodes of WSN are battery-powered, so the problem of limited energy exists. Aiming at this issue, the low power node of WSN, and the hierarchical unidirectional route algorithm have been designed. The node of WSN is composed of ARM low power microprocessor STM32F103C6T6 and the RF wireless transceiver SI4421. The sensor nodes and the base station nodes are assigned to different layer by the hierarchical unidirectional route according to different locations near or far. The power consumption of the node is reduced through controlling the power of the node itself, and selecting optimal path for wireless data transmission, and the overall life cycle of the network is extended, The simulation of energy consumption and networking test indicate that reliable data transmission can be conducted by this design scheme under lower power consumption.
作者 曾闵 江虹
出处 《自动化仪表》 CAS 北大核心 2013年第10期51-54,59,共5页 Process Automation Instrumentation
基金 国防基础科研计划基金资助项目(编号:B3120110005)
关键词 无线传感器网络 路由 功率控制 低功耗 可靠传输 Wireless sensor network I WSN ) Route Power control Low power consumption Reliable transmission
  • 相关文献

参考文献10

二级参考文献75

共引文献135

同被引文献32

  • 1Kumar S, Ovsthu S. An industrial perspective on wireless sensor networks—A survey of requirements protocols and challenges[J].Communications Surveys & Tutorials, IEEE, 2014,6(3):1391-1412.
  • 2Borges L M, Velez F J, Lebres A S. Survey on the characterization and classication of wireless sensor network applications[J]. Communications Surveys & Tutorials,IEEE, 2014,16(4):1860-1890.
  • 3Dawson-Haggetty S, Lanzisera S, Aneja J. Insights from a large, long-lived appliance energy WSN[C]// Processing of the 11th International Conference on InformationProcessing in Sensor Networks (IPSN). New York, 2012:37-48.
  • 4Mehrjoo S, Aghaee H, Karimi H. A novel hybrid GA-ABC based energy efficient clustering in wireless sensor network[J].Canadian Journal on Multimedia and WirelessNetworks, 2011,2(2):41-45.
  • 5Demigha O, Didouci W K. On energy efficiency in collaborative target tracking in wireless sensor network: A review[J].Communications Surveys & Tutorials,IEEE, 2013,15(3):1210-1222.
  • 6Minhas A A, Sattar D, Mustaq K. Energy efficient multicast routing protocols for wireless sensor networks[C]// 2011 World Congress on IEEE Sustainable Technologies(WCST). 2011:178-181.
  • 7Lin Che-lung, Tsai Jui-hua, Chu Yu-hsien. Concept of bounded error to improve wireless sensor network data compression[C]// SENSORS, 2014:1240-1243.
  • 8Hussian S, I, Javed H, Ur Rehman W, et al. CoXoH: Low cost energy efficient data compression for wireless sensor nodes using data encoding[C]// 2011 InternationalConference on Computer Networks and Information Technology(ICCNIT). 2011:149-152.
  • 9Huu P N, Tran-Quang V, Miyoshi T. Energy threshold adaptation algorithms on image compression to prolong WSN lifetime[C]// 2010 the 7th International Symposium on IEEEWireless Communication Systems(ISWCS). 2010:834-838.
  • 10Prabu S, Maheswari R. Improving wireless sensor network lifespan by efficient routing algorithm and LZW compression[C]// 2014 International Conference on IEEEInformation Communication and Embedded Systems(ICICES). 2014:1-5.

引证文献3

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部