无线传感器网络中作为数据骡子的移动机器人行程调度

Ourania Tsilomitrou, N. Evangeliou, A. Tzes
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引用次数: 7

摘要

本文主要研究利用移动机器人作为数据骡子从无线传感器系统(WSN)收集和传输数据。WSN中的每个静态节点都有自己的数据生成速率,由于其硬件限制,导致了强制的访问间隔时间。移动元件/机器人接近节点,收集其存储的数据,并将这些数据传输到仓库站。在所采用的场景中,移动机器人假设节点位置的先验知识,并通过解决类似于旅行推销员子集-旅行问题(TSSP)的组合优化问题提取相应的轨迹。所得到的MES (Mobile Element Scheduling)方案考虑了静态节点之间的移动距离、每个节点避免缓冲区溢出的最大间隔访问时间、每个节点的访问/服务时间以及移动机器人的能耗。仿真研究表明了整体优化概念的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobile Robot Tour Scheduling acting as Data Mule in a Wireless Sensor Network
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.
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