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Layered Distributed Constraint Optimization Problem for Resource Allocation Problem in Distributed Sensor Networks

机译:分布式传感器网络中资源分配问题的分层分布式约束优化问题

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Distributed sensor network is an important research area of multi-agent systems. We focus on a type of distributed sensor network systems that cooperatively observe multiple targets with multiple autonomous sensors that can control their own view. The problem of allocating observation resource of the distributed sensor network can be formalized as distributed constraint optimization problems. However, in the previous works, the computation cost to solve the resource allocation problem highly increases with its scale/density. In this work, we divide the problem into two layers of problems, and two layered cooperative solvers are applied to those problems. The result of the experiment shows that our proposed method reduces the number of message cycles.
机译:分布式传感器网络是多智能体系统的重要研究领域。我们专注于一种分布式传感器网络系统,该系统与可控制其自身视图的多个自主传感器协作地观察多个目标。分布式传感器网络的观测资源分配问题可以形式化为分布式约束优化问题。然而,在先前的工作中,解决资源分配问题的计算成本随着其规模/密度而大大增加。在这项工作中,我们将问题分为两层问题,并将两层协作求解器应用于这些问题。实验结果表明,我们提出的方法减少了消息周期的数量。

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