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A framework for multi-robot node coverage in sensor networks

机译:传感器网络中多机器人节点覆盖的框架

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Area coverage is a well-known problem in robotics. Extensive research has been conducted for the single robot coverage problem in the past decades. More recently, the research community has focused its attention on formulations where multiple robots are considered. In this paper, a new formulation of the multi-robot coverage problem is proposed. The novelty of this work is the introduction of a sensor network, which cooperates with the team of robots in order to provide coordination. The sensor network, taking advantage of its distributed nature, is responsible for both the construction of the path and for guiding the robots. The coverage of the environment is achieved by guaranteeing the reachability of the sensor nodes by the robots. Two distributed algorithms for path construction are discussed. The first aims to speed up the construction process exploiting a concurrent approach. The second aims to provide an underlying structure for the paths by building a Hamiltonian path and then partitioning it. A statistical analysis has been performed to show the effectiveness of the proposed algorithms. In particular, three different indexes of quality, namely completeness, fairness, and robustness, have been studied.
机译:区域覆盖是机器人技术中的一个众所周知的问题。在过去的几十年中,已经对单个机器人的覆盖问题进行了广泛的研究。最近,研究界将注意力集中在考虑多个机器人的配方上。本文提出了一种多机器人覆盖问题的新表述。这项工作的新颖之处在于引入了传感器网络,该传感器网络与机器人团队合作以提供协调。传感器网络利用其分布式特性,既负责路径的构造又负责引导机器人。通过确保机器人可以达到传感器节点的可到达性,可以覆盖环境。讨论了两种用于路径构建的分布式算法。第一个目标是利用并发方法来加快构建过程。第二个目标是通过构建哈密顿路径,然后对其进行分区,为路径提供基础结构。进行了统计分析以显示所提出算法的有效性。特别地,已经研究了三个不同的质量指标,即完整性,公平性和鲁棒性。

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