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Simple movement control algorithm for bi-connectivity in robotic sensor networks

机译:机器人传感器网络中双连接的简单运动控制算法

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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.
机译:机器人传感器网络比传感器网络更强大,因为机器人可以移动传感器来调整其感应范围。在机器人传感器网络中,一个重要的问题是运动控制:机器人如何自主地移动到所需位置进行传感和数据收集。在本文中,我们研究了一个新的运动控制问题,其具有以下基本要求:i)初始的可能断开的网络是自组织为双向连接的网络; ii)仅将一跳信息用于运动控制; iii )网络的覆盖范围最大化,而移动过程中的总移动距离最小。针对此问题,我们提出了一种简单的运动控制算法。该算法模拟了自然界中的吸引力(例如拉伸弹簧中的力)和排斥力(例如​​电荷之间的静电力),因此每个机器人都简单地跟随合成的虚拟力进行移动。我们从理论上证明了该算法可确保在温和条件下建立双连接网络,并得出最大覆盖范围和最小移动距离的界限。我们进行了广泛的仿真实验,以证明该算法是有效的。

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