Mobile Agent Rendezvous on a Probabilistic Edge Evolving Ring

Yukiko Yamauchi, Tomoko Izumi, S. Kamei
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引用次数: 7

Abstract

Rendezvous problem, which requires all mobile agents to gather on a single vertex, is one of the crucial methods for mobile agent systems. In previous studies on the rendezvous problem, mobile agents move on a static environment where the network topology does not change during the execution. However, in dynamic networks such as wireless mobile ad-hoc networks, the network continuously changes because of movements of vertices and interference of wireless signal. In this paper, we investigate the rendezvous problem in dynamic environment which is modeled by a probabilistic edge evolving graph. A probabilistic edge evolving graph is a sequence of sub graphs of an original graph G where each edge of G is contained in each sub graph probabilistically. We present a rendezvous algorithm for an evolving graph whose original graph is a ring, and its expected rendezvous time until two agents gather on a vertex. The analysis results show the impact of the initial directions to which agents start to move and the consistency of local port numbering during the execution on the expected rendezvous time.
概率边缘进化环上的移动Agent集合
交会问题是移动智能体系统的关键方法之一,它要求所有移动智能体聚集在一个单一的顶点上。在以往的交会问题研究中,移动代理在静态环境中移动,网络拓扑在执行过程中不发生变化。然而,在无线移动自组网等动态网络中,由于顶点的移动和无线信号的干扰,网络不断发生变化。本文研究了用概率边演化图建模的动态环境下的交会问题。概率边演化图是原始图G的子图序列,其中G的每条边都概率地包含在每个子图中。提出了一种原始图为环状的进化图的交会算法,并给出了两个智能体聚集在一个顶点上的交会时间。分析结果表明,在执行过程中,代理开始移动的初始方向和本地端口编号的一致性对预期交会时间的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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