环网络中的确定性对称性破缺

L. Gąsieniec, T. Jurdzinski, R. Martin, Grzegorz Stachowiak
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引用次数: 0

摘要

研究了一种分布在圆上的均匀agent的分布式协调机制。代理在同步的回合中执行它们的动作。在每一轮开始时,agent可以选择顺时针、逆时针或空闲的移动方向,并在这一轮中以单位速度移动。agent不允许交叉,即当一个agent与另一个agent碰撞时,它立即开始以相同的速度向相反的方向移动(不与另一个agent交换任何信息)。然而,在每个回合结束时,每个代理都可以访问有关其在此回合中的运动轨迹的有限信息。我们假设n个移动智能体最初位于单位圆周上任意但不同的位置,其他智能体不知道。代理具有固定范围内的唯一标识符。每个代理执行的位置发现任务是确定每个其他代理的初始位置。我们的主要结果表明,如果关于一轮运动的唯一可用信息仅限于初始位置和最终位置之间的距离,那么解决位置发现问题所需的时间就存在超线性下界。有趣的是,这个结果对应于一个组合对称破缺问题,这可能是一个独立的兴趣。另一方面,如果一个智能体在一轮中能够访问到它与另一个智能体的第一次碰撞的距离,我们为位置发现问题设计了一个渐近有效且接近最优的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deterministic Symmetry Breaking in Ring Networks
We study a distributed coordination mechanism for uniform agents located on a circle. The agents perform their actions in synchronised rounds. At the beginning of each round an agent chooses the direction of its movement from clockwise, anticlockwise, or idle, and moves at unit speed during this round. Agents are not allowed to overpass, i.e., When an agent collides with another it instantly starts moving with the same speed in the opposite direction (without exchanging any information with the other agent). However, at the end of each round each agent has access to limited information regarding its trajectory of movement during this round. We assume that n mobile agents are initially located on a circle unit circumference at arbitrary but distinct positions unknown to other agents. The agents are equipped with unique identifiers from a fixed range. The location discovery task to be performed by each agent is to determine the initial position of every other agent. Our main result states that, if the only available information about movement in a round is limited to distance between the initial and the final position, then there is a superlinear lower bound on time needed to solve the location discovery problem. Interestingly, this result corresponds to a combinatorial symmetry breaking problem, which might be of independent interest. If, on the other hand, an agent has access to the distance to its first collision with another agent in a round, we design an asymptotically efficient and close to optimal solution for the location discovery problem.
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