Using Virtual Mobile Nodes for Neighbor Detection in Proximity-Based Mobile Applications

Behnaz Bostanipour, B. Garbinato
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引用次数: 3

Abstract

We introduce a time-limited neighbor detector service for mobile ad hoc networks, which enables a mobile device to detect other nearby devices in the past, present and up to some bounded time interval in the future. Our motivation lies in the emergence of a new trend of mobile applications known as proximity-based mobile applications, which enable a user to communicate with other users within some defined range and for a certain amount of time. Neighbor discovery is a fundamental requirement for these applications and is not restricted to the current neighbors but can include past or future neighbors. To implement the time-limited neighbor detector service, we apply an approach based on virtual mobile nodes. A virtual mobile node is an abstraction that is akin to a mobile node that travels in the network in a predefined trajectory. In practice it can be implemented by a set of mobile nodes based on a replicated state machine approach. In this paper, we assume that each node can accurately predict its own locations up to some bounded time interval in the future. Thus, we present a time-limited neighbor detector algorithm that uses a virtual mobile node that continuously travels in the network, collects the predicted locations of all nodes, performs the neighborhood matching between nodes and sends the list of neighbors to each node. We show that our algorithm correctly implements the time-limited neighbor detector service under a set of conditions.
基于接近度的移动应用中使用虚拟移动节点进行邻居检测
我们为移动自组织网络引入了一种限时邻居检测器服务,它使移动设备能够在过去、现在和未来的某个有限时间间隔内检测附近的其他设备。我们的动机在于出现了一种新的移动应用趋势,即基于邻近度的移动应用,它使用户能够在一定范围内和一定时间内与其他用户进行通信。邻居发现是这些应用程序的基本需求,它不仅限于当前邻居,还可以包括过去或未来的邻居。为了实现限时邻居检测服务,我们采用了一种基于虚拟移动节点的方法。虚拟移动节点是一种抽象,类似于在网络中按照预定义轨迹移动的移动节点。在实践中,它可以通过一组基于复制状态机方法的移动节点来实现。在本文中,我们假设每个节点在未来某一有界时间间隔内都能准确地预测自己的位置。因此,我们提出了一种限时邻居检测器算法,该算法使用在网络中连续移动的虚拟移动节点,收集所有节点的预测位置,执行节点之间的邻居匹配,并将邻居列表发送给每个节点。我们证明了我们的算法在一组条件下正确地实现了限时邻居检测器服务。
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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