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

机译:用于传感器汇互连的2连接无线继电器网络的AS-You-Go部署

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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:一个人沿着一条线散步(例如,这可能是森林足迹的理想,例如,在走路时放置继电器,以便创建一个多彩网,用于将传感器连接到沿着初始线的点到下沉这条线。潜在的放置点沿线等等地间隔开,并且在每个这样的位置处的决定放置或不放置继电器基于先前放置的继电器的链路质量测量。传感器的位置是未知的Apriori,并且被发现为部署代理人行走。在本文中,我们在这类问题上延长了我们之前的工作,以包括实现2连通的多彩网网络的目标。我们提出了一种在部署的继电器上添加的网络成本目标,并考虑到多个可用路径上可能的替代路由。与我们之前的工作一样,问题被制定为马尔可夫决策过程。获得两个源位置模型的放置算法,其产生折扣成本MDP和平均成本MDP。在每种情况下,我们获得最佳政策的结构结果,并执行一个数字研究,该研究提供了对多连接性的优缺点的见解。我们验证在森林环境中实验从数值研究获得的结果。

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