.png){kind=icon}
返回
Designing reduced beacon trajectory for sensor localization
.png){kind=icon}
PRE
AI
DOI：10.1631/jzus.2007.A1971.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Localization is one of the substantial issues in wireless sensor networks. The key problem for the mobile beacon localization is how to choose the appropriate beacon trajectory. However, little research has been done on it. In this paper, firstly, we deduce the number of positions for a beacon to send a packet according to the acreage of ROI (region of interest); and next we present a novel method based on virtual force to arrange the positions in arbitrary ROI; then we apply TSP (travelling salesman problem) algorithm to the positions sequence to obtain the optimal touring path, i.e. the reduced beacon trajectory. When a mobile beacon moves along the touring path, sending RF signals at every position, the sensors in ROI can work out their position with trilateration. Experimental results demonstrate that the localization method, based on the beacon reduced path, is efficient and has flexible accuracy.
Keyword:
sensor network
sensor localization
mobile beacon
virtual force
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.9
论文数:
2.2K
被引数:
4.6K
机构
暂无机构信息
引用论文
Adaptive triangular deployment algorithm for unattended mobile sensor networks无人值守移动传感器网络自适应三角部署算法
PREAI
分享收藏Stabilization of immiscible polymer blends using structure directing metal organic frameworks (MOFs).png)
Polymer
PolymerIF0
PREAI
分享收藏
分享收藏分享收藏分享收藏
查看更多内容