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Mobile Agent Rendezvous on a Probabilistic Edge Evolving Ring

机译:概率边缘演进环上的移动代理会合

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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.
机译:要求所有移动代理收集在单个顶点上的集合问题是移动代理系统的关键方法之一。在先前有关集合点问题的研究中,移动代理在静态环境中移动,在静态环境中网络拓扑在执行期间不会发生变化。然而,在诸如无线移动自组织网络之类的动态网络中,由于顶点的移动和无线信号的干扰,网络不断变化。在本文中,我们研究了动态环境中的会合问题,该问题由概率边演化图建模。概率边缘演化图是原始图G的子图序列,其中G的每个边以概率形式包含在每个子图中。我们提出了一个演化图的集合算法,该图的原始图是一个环,以及直到两个代理聚集在一个顶点上之前的期望集合时间。分析结果显示了代理开始移动的初始方向以及执行期间本地端口编号的一致性对预期集合时间的影响。

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