混合传感器网络的传感与机器人导航

Shuncai Yao, Jindong Tan, Hongxia Pan
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引用次数: 5

摘要

传统的传感器网络和机器人导航都是基于预先获得的探测场地图。探索了解决节能、最短路径等问题的最优算法。然而,在实际环境中,有许多领域,其地图很难获得,需要检测。本文研究了一种基于混合传感器网络的无先验地图自组织导航算法。导航系统由静态节点和移动节点组成。静态节点监视事件的发生和广播。在系统中,采用了一种聚类广播的方法来确定机器人的定位。移动节点探测敌方或危险区域并广播警告消息。Robot获得消息并遵循特定的例程到达事件发生的位置。在整个过程中,都考虑到了节能。给出了节点算法和机器人算法。并给出了仿真结果和实际应用结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Sensing and Robot Navigation of Hybrid Sensor Network
Traditional sensor network and robot navigation are based on the map of detecting fields available in advance. The optimal algorithms are explored to solve the energy saving, shortest path problems, etc. However, in practical environment, there are many fields, whose map is difficult to get, and need to detect. This paper explores a kind of ad-hoc navigation algorithm based on the hybrid sensor network without the prior map. The system of navigation is composed of static nodes and mobile nodes. The static nodes monitor events occurring and broadcast. In the system, a kind of cluster broadcast method is adopted to determine the robot localization. The mobile nodes detect the adversary or dangerous fields and broadcast warning message. Robot gets the message and follows ad-hoc routine to arrive the events occurring place. In the whole process, energy saving has taken into account. The algorithms of nodes and robot are given in this paper. The simulate and practical results are available as well.
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