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As-you-go deployment of a 2-connected wireless relay network for sensor-sink interconnection

机译:随时部署2个连接的无线中继网络,用于传感器-接收器互连

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A person walks along a line (which could be an idealisation of a forest trail, for example), placing relays as he walks, in order to create a multihop network for connecting a sensor at a point along the line to a sink at the start of the line. The potential placement points are equally spaced along the line, and at each such location the decision to place or not to place a relay is based on link quality measurements to the previously placed relays. The location of the sensor is unknown apriori, and is discovered as the deployment agent walks. In this paper, we extend our earlier work on this class of problems to include the objective of achieving a 2-connected multihop network. We propose a network cost objective that is additive over the deployed relays, and accounts for possible alternate routing over the multiple available paths. As in our earlier work, the problem is formulated as a Markov decision process. Placement algorithms are obtained for two source location models, which yield a discounted cost MDP and an average cost MDP. In each case we obtain structural results for an optimal policy, and perform a numerical study that provides insights into the advantages and disadvantages of multi-connectivity. We validate the results obtained from numerical study experimentally in a forest-like environment.
机译:一个人沿着一条线行走(例如,这可能是理想的森林步道),并在其行走时放置中继器,以便创建多跳网络,以将沿线的点处的传感器连接到起点处的水槽。的线。潜在的放置点沿线等距分布,并且在每个这样的位置,是否放置中继的决定都是基于对先前放置的中继的链路质量测量得出的。传感器的位置是先验未知的,并且在部署代理行走时被发现。在本文中,我们将对此类问题的早期工作扩展到包括实现2连接多跳网络的目标。我们提出了一个网络成本目标,该目标会增加已部署中继的成本,并考虑多个可用路径上可能存在的备用路由。正如我们先前的工作一样,该问题被表述为马尔可夫决策过程。为两个源位置模型获得了放置算法,这产生了折扣成本MDP和平均成本MDP。在每种情况下,我们都获得了最佳策略的结构结果,并进行了数值研究,以深入了解多重连接的优缺点。我们在类似森林的环境中验证了通过数值研究获得的结果。

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