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

机译:在本地构建移动机器人短链的节能策略

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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 8 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 [1J. 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). 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:我们获得了n个移动机器人在飞机上两个站点之间的缠绕链,每个机器人的视野范围有限。仅保证每个机器人都能看到链中的两个邻居。目的是让机器人收敛到站点之间的路线。我们使用离散和同步时间模型,但在每个回合中将每个移动机器人的运动限制为8个距离。该限制填补了先前使用的具有无限步长的离散时间模型和在[1J。]中引入的连续时间模型之间的空白。我们采用Dynia等人的策略。 [2]:在每个回合中,每个机器人都首先观察其邻居的位置,然后朝它们之间的中点移动,直到到达该点或移动距离δ。在这种情况下,主要的能量消耗者是邻居位置的数量观测值,它等于轮数以及机器人要行驶的距离。我们针对两种质量度量分析策略,并提供渐近严格的界限。我们表明,对于该策略,δ的最佳选择是δ∈Θ(1 / n)。由于这可以最大程度地减少(最多恒定因素)两个能量消耗者,因此可以同时减少回合数和最大行驶距离。

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