您当前的位置:
首页 >
文章列表页 >
Monte-Carlo boxed localization algorithm for sparse anchor nodes environment
更新时间:2025-09-11
    • Monte-Carlo boxed localization algorithm for sparse anchor nodes environment

    • Vol. 33, Issue 8, Pages: 131-133+149(2014)
    • DOI:10.13873/j.1000-9787(2014)08-0131-03    

      CLC: TN929.5;TP212.9
    • Published:2014

    移动端阅览

  • LIU Hong, ZHANG Zi-yang, WEI Hao-peng. Monte-Carlo boxed localization algorithm for sparse anchor nodes environment[J]. 2014, 33(8): 131-133+149. DOI: 10.13873/j.1000-9787(2014)08-0131-03.

  •  
  •  
icon
试读结束,您可以激活您的VIP账号继续阅读。
去激活 >
icon
试读结束,您可以通过登录账户,到个人中心,购买VIP会员阅读全文。
已是VIP会员?
去登录 >

0

Views

74

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Analysis on relationship between node distribution and localization performance of WSNs
Localization algorithm for WSNs based on RSSI range modified
Study on 3D localization algorithm for WSNs
A sleep scheduling localization algorithm with local redundant anchor nodes in WSNs
Study on localization algorithm for wireless mobile node based on APIT and particle filter

Related Author

ZHANG Yong-qiang
ZHANG Qiao-rong
WANG Pei-qi
LI Yan-ping
CHEN Xiang-nan
LI Jing
LIU Jian
SHEN Hai-bin

Related Institution

College of Computer and Information,Henan University of Economics and Law
School of Information Engineering,Taiyuan University of Technology
College of Electrical Engineering,Zhejiang University
School of Automation,Guangdong University of Technology
School of Mechanical and Electrical Engineering and Automation,Shanghai University
0