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Self-stabilizing gathering of mobile robots under crash or Byzantine faults

机译:在崩溃或拜占庭故障下自我稳定的移动机器人聚集

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Gathering is a fundamental coordination problem in cooperative mobile robotics. In short, given a set of robots witharbitraryinitial locations and no initial agreement on a global coordinate system, gathering requires that all robots, following their algorithm, reach the exact same but not predetermined location. Gathering is particularly challenging in networks where robots are oblivious (i.e., stateless) and direct communication is replaced by observations on their respective locations. Interestingly any algorithm that solves gathering with oblivious robots is inherently self-stabilizing if no specific assumption is made on the initial distribution of the robots. In this paper, we significantly extend the studies of deterministic gathering feasibility under different assumptions related to synchrony and faults (crash and Byzantine). Unlike prior work, we consider a larger set of scheduling strategies, such as bounded schedulers. In addition, we extend our study to the feasibility of probabilistic self-stabilizing gathering in both fault-free and fault-prone environments.
机译:采集是合作移动机器人的基本协调问题。简而言之,给定一组机器人在全球坐标系上没有初始协议,收集要求所有机器人遵循其算法,达到完全相同但不是预定的位置。收集在机器人令人沮丧的网络中特别具有挑战性(即,无规则)和直接沟通被各自地点的观察所取代。有趣的是任何解决在忘记机器人收集的算法本质上是自我稳定的,如果没有对机器人的初始分布没有特定的假设。在本文中,我们显着扩展了与同步和故障相关的不同假设下确定性聚会可行性的研究(崩溃和拜占庭)。与事先工作不同,我们考虑更大的调度策略,例如有限的调度员。此外,我们将我们的研究扩展到无故障和容易易于环境中的概率自稳压聚会的可行性。

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