The More-Than-One Robotics lab, Department of Electronic Systems, Automation and Control Section, Aalborg University, Fredik Bajers Vej 7C, 9220 Aalborg, Denmark.
Sensors (Basel). 2011;11(8):8180-202. doi: 10.3390/s110808180. Epub 2011 Aug 23.
A swarming mobile sensor network is comprised of a swarm of wirelessly connected mobile robots equipped with various sensors. Such a network can be applied in an uncertain environment for services such as cooperative navigation and exploration, object identification and information gathering. One of the most advantageous properties of the swarming wireless sensor network is that mobile nodes can work cooperatively to organize an ad-hoc network and optimize the network link capacity to maximize the transmission of gathered data from a source to a target. This paper describes a new method of link optimization of swarming mobile sensor networks. The new method is based on combination of the artificial potential force guaranteeing connectivities of the mobile sensor nodes and the max-flow min-cut theorem of graph theory ensuring optimization of the network link capacity. The developed algorithm is demonstrated and evaluated in simulation.
群集移动传感器网络由一群配备各种传感器的无线连接的移动机器人组成。这种网络可以应用于不确定的环境中，用于服务，如协同导航和探索、目标识别和信息收集。群集无线传感器网络最有利的特性之一是移动节点可以协作工作，以组织一个自组织网络，并优化网络链路容量，以最大限度地从源传输到目标收集的数据。本文描述了一种群集移动传感器网络链路优化的新方法。该新方法基于人工势场保证移动传感器节点的连通性和图论的最大流最小割定理保证网络链路容量的优化相结合。所开发的算法在仿真中进行了演示和评估。
