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Mobile Robot Tour Scheduling acting as Data Mule in a Wireless Sensor Network

机译:移动机器人巡回演唱调度作为无线传感器网络中的数据骡子

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This article focuses on the utilization of a mobile robot as data mule for collecting and transferring data from a wireless sensor system (WSN). Each static node within the WSN has its data generation rate resulting in an imposed inter-visit duration due to its hardware limitations. The mobile element/robot approaches the nodes, collects their stored data, and transfers these to a depot station. In the adopted scenario, the mobile robot assumes prior knowledge of the nodes' locations and the corresponding trajectories are extracted by solving a combinatorial optimization problem that resembles that of Travelling Salesman Subset-tour Problem (TSSP). The resulting Mobile Element Scheduling (MES) scheme accounts for: the traveling distances between the static nodes, the maximum inter-visit duration for each node to avoid buffer overflow, the visiting/service time at each node and the energy consumption of the mobile robot. The presented simulation studies indicate the effectiveness of the overall optimization concept.
机译:本文侧重于将移动机器人的利用方式作为数据骡子,用于从无线传感器系统(WSN)中收集和传输数据。 WSN内的每个静态节点都具有其数据生成速率,导致由于其硬件限制而导致的访问间持续时间。移动元件/机器人接近节点,收集其存储的数据,并将其传送到仓库站。在所采用的场景中,移动机器人假设通过解决类似于旅行推销员子集 - 旅游问题(TSP)的组合优化问题来提取相应的轨迹的先验知识。由此产生的移动元素调度(MES)方案用于:静态节点之间的行驶距离,每个节点的最大访问持续时间,以避免缓冲区溢出,每个节点处的访问/服务时间和移动机器人的能量消耗。呈现的仿真研究表明整体优化概念的有效性。

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