Dispatch-and-search: dynamic multi-ferry control in partitioned mobile networks

T. He, A. Swami, Kang-Won Lee
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引用次数: 11

Abstract

We consider the problem of disseminating data from a base station to a sparse, partitioned mobile network by controllable data ferries with limited ferry-node and ferry-ferry communication ranges. Existing solutions to data ferry control mostly assume the nodes to be stationary, which reduces the problem to designing fixed ferry routes. In the more challenging scenario of mobile networks, existing solutions have focused on single-ferry control and left out an important issue of ferry cooperation in the presence of multiple ferries. In this paper, we jointly address the issues of ferry navigation and cooperation using the approach of stochastic control. Under the assumption that ferries can communicate within each partition, we propose a hierarchical control system called Dispatch-and-Search (DAS), consisting of a global controller that dispatches ferries to individual partitions and local controllers that coordinate the search for nodes within each partition. Formulating the global and the local control as Partially Observable Markov Decision Processes (POMDPs), we develop efficient control policies to optimize the (discounted) total throughput, which significantly improve the performance of their predetermined counterparts in cases of limited prior knowledge.
调度与搜索:分区移动网络中的动态多轮渡控制
我们考虑了通过具有有限节点和通信范围的可控数据轮渡将数据从基站传播到稀疏、分区的移动网络的问题。现有的数据摆渡控制方案大多假设节点是固定的,这就减少了设计固定摆渡路线的问题。在更具挑战性的移动网络场景中,现有的解决方案主要集中在单轮渡轮控制上,而忽略了多轮渡轮存在时渡轮合作的重要问题。在本文中,我们用随机控制的方法共同解决了轮渡航行和合作问题。在假设渡轮可以在每个分区内通信的情况下,我们提出了一个称为调度与搜索(DAS)的分层控制系统,该系统由一个将渡轮调度到各个分区的全局控制器和协调每个分区内节点搜索的本地控制器组成。将全局控制和局部控制表述为部分可观察马尔可夫决策过程(pomdp),我们开发了有效的控制策略来优化(贴现)总吞吐量,这在有限先验知识的情况下显着提高了其预定对应的性能。
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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