Investigating the Effectiveness of a Moving-Target Oriented Opportunistic Routing Algorithm on RoboCup Rescue Simulations

2014 IIAI 3rd International Conference on Advanced Applied Informatics Pub Date : 2014-12-01 DOI:10.1109/IIAI-AAI.2014.181

Takuma Kawakami, Kyoichi Kisanuki, Toshiaki Ito, K. Iwata, N. Ito, Taisuke Izumi

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引用次数: 0

Abstract

Voice and radio communications are a means of sharing information between agents in RoboCup Rescue Simulations. However, since this is limited to voice communication in some scenarios, it is necessary to establish a communication system for environments in which voice communication is disrupted or delayed. The architecture used in this situation is called a delay-tolerant network (DTN). The method for focusing on moving agents is efficient because every agent moves, searches and rescues in RoboCup Rescue Simulations. Therefore, we discuss applying a moving target oriented opportunistic routing algorithm in vehicular networks (MORN) to the RoboCup Rescue Simulation. At first, we consider the validity of the MORN in disaster relief. Secondly we implement rescue agents by using the MORN and confirm the efficiency. As the results, we confirmed the possibility of the MORN in RoboCup Rescue Simulation and discuss the problems which have been found from some experiments as future works.

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面向运动目标的机会路由算法在机器人世界杯救援仿真中的有效性研究

语音和无线电通信是机器人世界杯救援模拟中代理之间共享信息的一种手段。但是，由于这在某些场景下仅限于语音通信，因此有必要建立针对语音通信中断或延迟的环境的通信系统。在这种情况下使用的体系结构称为容忍延迟网络(DTN)。专注于移动代理的方法是有效的，因为在《RoboCup Rescue simulation》中每个代理都在移动、搜索和救援。因此，我们讨论了将一种面向移动目标的车辆网络机会路由算法(MORN)应用到机器人世界杯救援仿真中。首先，我们考虑了MORN在灾害救援中的有效性。其次，利用MORN实现了救援代理，并验证了其有效性。研究结果证实了MORN在机器人世界杯救援仿真中应用的可能性，并对实验中发现的问题进行了探讨。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2014 IIAI 3rd International Conference on Advanced Applied Informatics

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