Using Set-Based Heading to Improve Mobile Agent Movement

B. Prosser, Neal Dawes, E. Fulp, A. McKinnon, Glenn A. Fink
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引用次数: 1

Abstract

Cover time measures the time (or number of steps) required for a mobile agent to visit each node in a network (graph) at least once. A short cover time is important for search or foraging applications that require mobile agents to quickly inspect or monitor nodes in a network, such as providing situational awareness or security. Speed can be achieved if details about the graph are known or if the agent maintains a history of visited nodes, however, these requirements may not be feasible for agents with limited resources, they are difficult in dynamic graph topologies, and they do not easily scale to large networks. This paper introduces a set-based form of heading (directional bias) that allows an agent to more efficiently explore any connected graph, static or dynamic. When deciding the next node to visit, agents are discouraged from visiting nodes that neighbor both their previous and current locations. Modifying a traditional movement method, e.g., random walk, with this concept encourages an agent to move toward nodes that are less likely to have been previously visited, reducing cover time. Simulation results with grid, scale-free, and minimum distance graphs demonstrate heading can consistently reduce cover time as compared to non-heading movement techniques.
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基于集合标题的移动智能体运动改进方法
覆盖时间度量移动代理访问网络(图)中每个节点至少一次所需的时间(或步数)。对于需要移动代理快速检查或监视网络中的节点(例如提供态势感知或安全性)的搜索或觅食应用程序,较短的覆盖时间非常重要。如果图的细节是已知的,或者如果代理维护访问节点的历史记录,则可以实现速度,但是,对于资源有限的代理来说,这些要求可能不可行,它们在动态图拓扑中是困难的,并且它们不容易扩展到大型网络。本文介绍了一种基于集合的标题形式(方向偏差),它允许智能体更有效地探索任何连接图,无论是静态的还是动态的。在决定要访问的下一个节点时,不鼓励代理访问与它们以前和当前位置相邻的节点。用这个概念修改传统的移动方法,例如随机行走,鼓励代理向以前不太可能被访问的节点移动,减少覆盖时间。网格、无标度和最小距离图的模拟结果表明,与非头部移动技术相比,头部移动可以持续减少覆盖时间。
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