Opportunistic Communication by Pedestrians with Roadside Units as Message Caches
Opportunistic Communication by Pedestrians with Roadside Units as Message Caches
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DOI：
10.1007/978-3-030-29029-0_16
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发表时间：
2019-09
期刊：
影响因子：
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通讯作者：
Tomoyuki Sueda;Naohiro Hayashibara
中科院分区：
文献类型：
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作者：
Tomoyuki Sueda;Naohiro Hayashibara
机会通信是容延迟网络（DTNs）、车载自组织网络（vanet）中广告、信息共享、灾难疏散引导等领域的关键技术之一。机会性交流的效率与移动模式相关。随机行走常被用作行人的运动模式。即使在这些随机行走中，lsamvy行走作为一种人类运动模式引起了人们的注意。近年来，在群体机器人的目标检测、人类行走模式分析、动物觅食行为建模等方面有大量的研究工作。根据这些结果，它被认为是一种在二维平面上搜索和相遇的有效方法。然而，所有这些工作都假设了一个连续的平面，几乎没有任何关于图的结果。本文主要研究了城市道路网络中基于任意行走和随机行走两种运动模式的行人基于机会主义交流的信息传递。此外，我们还介绍了位于城市中的路边单元，它在分布式消息缓存中发挥作用。因此，我们评估了由人类行人的移动设备组成的延迟容忍网络中路边单元对消息传递的影响。我们假设随机步行和lsamvy步行作为行人移动模型。仿真结果表明，在行人较少的情况下，路边单元对信息传递有显著影响。
Opportunistic communication is one of the critical technologies in the area of advertisement, information sharing, disaster evacuation guidance in delay-tolerant networks (DTNs), vehicular ad hoc networks (VANETs) and so on. The efficiency of opportunistic communication is correlated to the movement pattern. Random walks are often used as the movement patterns of a pedestrian. Even amongst those, Lévy walk that is a family of random walks is attracted attention as a human movement pattern. There are lots of works of Lévy walk in the context of target detection in swarm robotics, analyzing human walk patterns, and modeling the behavior of animal foraging in recent years. According to these results, it is known as an efficient method to search and come across one another in a two-dimensional plane. However, all these works assume a continuous plane and hardly any results on graphs are available. In this paper, we focus on message delivery based on opportunistic communication by pedestrians who move based on Lévy walk and Random walk movement patterns on the road network of a city. Moreover, we introduce roadside units located in the city, which play a role in the distributed message cache. So, we evaluate the impact of roadside units on message delivery in delay-tolerant networks consists of mobile devices of human pedestrians. We assume Random walk and Lévy walk as a pedestrian mobility model. Our simulation results show that the roadside units have a significant impact on message delivery with a small number of pedestrians.