.png){kind=icon}
返回
Simple Movement Control Algorithm for Bi-Connectivity in Robotic Sensor Networks
.png){kind=icon}
PRE
AI
DOI：10.1109/JSAC.2010.100904.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Robotic sensor networks are more powerful than sensor networks because the sensors can be moved by the robots to adjust their sensing coverage. In robotic sensor networks, an important problem is movement control: how the robots can autonomously move to the desired locations for sensing and data collection. In this paper, we study a new movement control problem with the following essential requirements: i) an initial and possibly disconnected network is self-organized into a bi-connected network, ii) only 1-hop information is used for movement control, iii) the coverage of the network is maximized while the total moving distance in the movement process is minimized. We propose a simple movement control algorithm for this problem. This algorithm emulates the attractive force (such as the force in a stretched spring) and the repulsive force (such as the electrostatic force between electric charges) in nature, such that each robot simply follows the resultant virtual force to move. We theoretically prove that this algorithm guarantees bi-connected networks under a mild condition and derive bounds on the maximum coverage and the minimum moving distance. We conduct extensive simulation experiments to demonstrate that the proposed algorithm is effective.
Keyword:
Robotic sensor networks
movement control
topology control
localized algorithms
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:
17.2
论文数:
6.4K
被引数:
3.1W
机构
引用论文
Movement control algorithms for realization of fault-toleront ad hoc robot networks.png)
IEEE NETWORK
IEEE NETWORKIF6.3
PREAI
分享收藏Effectiveness of neuromuscular electrical stimulation therapy in patients with urinary incontinence after strokeMedicine
OAAI
MedicineIF0
OAAI分享收藏分享收藏
查看更多内容