Computing inter-encounter time distributions for multiple random walkers on graphs

Quynh Nguyen, B. Krishnamachari
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Abstract

For intermittently connected mobile networks such as sparsely-deployed vehicular networks, it is of great interest to characterize the distribution of encounter times. We consider a very general mobility model in which each device is assumed to be moving through a given graph following a general random walk with arbitrary transition probabilities. We consider first the pairwise inter-encounter time distribution for a pair of random walkers and present a recursive polynomial-time computation that yields the exact solution. We then consider the individual-to-any inter-encounter time (i.e., the time between contacts of a particular walker with any of the other walkers in the population). For this harder problem, we give an approximate computation that is also polynomial time. We validate the accuracy of the presented solutions using numerical simulations. We discuss how the model can be generalized to consider multiple populations.
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图上多个随机漫步者的相遇时间分布计算
对于间歇性连接的移动网络,如稀疏部署的车辆网络,表征遇到时间的分布是非常有意义的。我们考虑一个非常一般的迁移模型,其中每个设备被假设在给定的图中跟随任意转移概率的一般随机行走。我们首先考虑了一对随机步行者的成对相遇时间分布,并提出了一个递归多项式时间计算,得出了精确解。然后,我们考虑个体到任意的相互接触时间(即,特定步行者与人群中任何其他步行者接触之间的时间)。对于这个更难的问题,我们给出一个近似的计算,也是多项式时间。我们用数值模拟验证了所提出的解决方案的准确性。我们讨论了该模型如何推广到考虑多个总体。
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