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Energy-Efficient Strategies for Building Short Chains of Mobile Robots Locally

机译:用于在本地建立移动机器人的短链的节能策略

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We are given a winding chain of n mobile robots between two stations in the plane, each of them having a limited viewing range. It is only guaranteed that each robot can see its two neighbors in the chain. The goal is to let the robots converge to the line between the stations. We use a discrete and synchronous time model, but we restrict the movement of each mobile robot to a distance of δ in each round. This restriction fills the gap between the previously used discrete time model with an unbounded step length and the continuous time model which was introduced in [1]. We adapt the strategy by Dynia et al. [2]: In each round, each robot first observes the positions of its neighbors and then moves towards the midpoint between them until it reaches the point or has moved a distance of δ. The main energy consumers in this scenario are the number observations of positions of neighbors, which equals the number of rounds, and the distance to be traveled by the robots. We analyze the strategy with respect to both quality measures and provide asymptotically tight bounds. We show that the best choice for δ for this strategy is δ ∈ Θ(1/n), since this minimizes (up to constant factors) both energy consumers, the number of rounds as well as the maximum traveled distance, at the same time.
机译:我们在平面中的两个站之间给出了N个移动机器人的绕组链,它们中的每一个都具有有限的观看范围。只能保证每个机器人可以在链中看到它的两个邻居。目标是让机器人收敛到站之间的行。我们使用离散和同步时间模型,但是我们将每个移动机器人的运动限制在每轮中δ的距离。该限制填充了先前使用的离散时间模型之间的间隙与[1]中引入的连续时间模型。我们通过Dynia等人调整策略。 [2]:在每一轮中,每个机器人首先观察其邻居的位置,然后朝向它们之间的中点移动,直到它到达点或移动到δ的距离。这种情况下的主要能量消费者是邻居位置的数量观察,其等于轮次的数量,以及机器人行驶的距离。我们分析了对质量措施的策略,并提供了渐近狭窄的界限。我们表明该策略的最佳选择是Δ∈θ(1 / N),因为这最小化了能量消费者的(达到恒定的因素),同时,轮次的数量以及最大行驶距离,同时。

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