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Multi-Robot Patrolling in Wireless Sensor Networks Using Bounded Cycle Coverage

机译:使用有界循环覆盖率的无线传感器网络中的多机器人巡逻

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Patrolling is mainly used in situations where the need of repeatedly visiting certain places is critical. In this paper, we consider a deployment of a wireless sensor network (WSN) that cannot be fully meshed because of the distance or obstacles. Several robots are then in charge of getting close enough to the nodes in order to connect to them, and perform a patrol to collect all the data in time. We discuss the problem of multi-robot patrolling within the constrained wireless networking settings. We show that this is fundamentally a problem of vertex coverage with bounded simple cycles (CBSC). We offer a formalization of the CBSC problem and prove it is NP-hard and at least as hard as the Traveling Salesman Problem (TSP). Then, we provide and analyze heuristics relying on clusterings and geometric techniques. The performances of our solutions are assessed in regards to networking parameters, robot energy, but also to random and particular graph models.
机译:巡逻主要用于需要重复访问某些地方非常重要的情况。在本文中,我们考虑部署无线传感器网络(WSN),由于距离或障碍,该网络无法完全网格化。然后,几个机器人负责足够接近节点以连接到它们,并执行巡逻以及时收集所有数据。我们讨论了受限无线网络设置内的多机器人巡逻问题。我们证明这从根本上讲是有界简单循环(CBSC)的顶点覆盖问题。我们提供CBSC问题的形式化证明,并证明它是NP难题,并且至少与Traveling Salesman Problem(TSP)一样困难。然后,我们提供和分析依赖于聚类和几何技术的启发式算法。我们根据网络参数,机器人能量以及随机和特定图形模型评估了我们解决方案的性能。

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