期刊文献+

基于移动机器人无线传感网络数据采集方法研究 被引量:4

Wireless Sensor Networks Based on Mobile Robot Research Data Collection Methods
在线阅读 下载PDF
导出
摘要 针对传统的无线传感网络数据采集方法存在的能耗高、网络延迟时间长的问题,提出了一种基于移动机器人无线传感网络数据采集方法,此方法的基本思想是,首先选择一个合适的移动机器人作为族头,一定周期内的相邻节点的平均剩余能量会被移动机器人检测出来,同时整个网络节点的平均剩余能量也能被检测出来,移动机器人是否移动由这两个能量参数的大小决定的。随着机器人的移动,节点的路由也会相应的更新,然后重新选择移动机器人族头。测试结果表明,此方法能很好的降低传输延迟和节点能量消耗。 Traditional wireless sensor networks for data collection methods have problems of the high energy consump- tion,and the long network latency,the article presents a wireless sensor network data collection methods based on mobile robot. The basic idea of this method is to select first a suitable mobile robot as a group header, the average residual energy of adjacent nodes within a certain period can be detected by the mobile robot. The average residual energy of the all network nodes can also be detected. The working of the mobile robot is decided by the sizes of these two energy parameters. As the robot moves, the routing nodes will be updated accordingly, and then the mobile robot reselects the new family head. Test results show that this method can reduce the transmission delay and node energy consumption.
出处 《电子器件》 CAS 北大核心 2013年第6期881-884,共4页 Chinese Journal of Electron Devices
基金 省部共建实验室基地项目开放课题项目(9011311) 江苏省属高校自然科学研究项目(12KJD520004) 江苏第二师范学院十二五规划课题项目(Jsie2012yb04 Jsie2011qz05 Jsie2011yb18) 江苏第二师范学院教学改革研究课题项目(Jssyjg2013yb04)
关键词 计算机网络 数据采集 移动机器人 传输延迟 computer network data collection mobile robots propagation delay
  • 相关文献

参考文献9

二级参考文献121

共引文献369

同被引文献25

  • 1石军锋,钟先信,陈帅,邵小良.无线传感器网络结构及特点分析[J].重庆大学学报(自然科学版),2005,28(2):16-19. 被引量:63
  • 2王福豹,史龙,任丰原.无线传感器网络中的自身定位系统和算法[J].软件学报,2005,16(5):857-868. 被引量:673
  • 3Xu Yang, Tan Ruochen, Wu Shuai, et al. Connect Internet with Sensors by 6LoWPAN [ J ]. Journal of Networks, 2013,8 (7) : 1480- 1487.
  • 4Fu Wei, Chen Gang, Wang Ping, et al.Improvement of Home Ap- pliance Control System in Smart Home Based on 6LoWPAN [J]. Journal of Computers, 2014,9( 1 ) : 183-188.
  • 5Saima Zafar, All Hammad Akbar, Sana Jabbar, et al.Session Lay- er-Assisted Effieient TCP Management Architecture for 6LoW- PAN with Multiple Gateways [J]. Network Business Weekly, 2010,12(7) :593-601.
  • 6Wen-Tsai Sung. Designing an Industrial Real-Time Measurement and Monitoring System [J]. Expert Systems with Applications, 2011 (38) :4522-4529.
  • 7Wen-Tsai Sung. Routing in IPv6 over Low-Power Wireless Person- al Area Networks (6LoWPAN) [J ]. Journal of Computer Networks and Communications, 2012 (5) : 1-10.
  • 8Claudio Salvadori. Video Streaming Applications in Wireless Camera Networks: A Change Detection Based Approach Targeted to 6LoWPAN [ J ]. Journal of Systems Architecture, 2013 (59) : 859-869.
  • 9Shanthini J. Modifed Simple Network Management Protocol for 6LoWPAN [J ]. SciVerse ScienceDirect, 2012(38) : 1024-1029.
  • 10Akyildiz I F, Su W, met al. Wireless Sensor Networks: Asurvey [ J ]. Computer Network, March 2002,35(4) : 393-422.

引证文献4

二级引证文献21

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