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Opportunistic Routing in Intermittently Connected Mobile P2P Networks

机译:间歇连接的移动P2P网络中的机会路由

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摘要

Mobile P2P networking is an enabling technology for mobile devices to self-organize in an unstructured style and communicate in a peer-to-peer fashion. Due to user mobility and/or the unrestricted switching on/off of the mobile devices, links are intermittently connected and end-to-end paths may not exist, causing routing a very challenging problem. Moreover, the limited wireless spectrum and device resources together with the rapidly growing number of portable devices and amount of transmitted data make routing even harder. To tackle these challenges, the routing algorithms must be scalable, distributed, and light-weighted. Nevertheless, existing approaches usually cannot simultaneously satisfy all these three requirements. In this paper, we propose two opportunistic routing algorithms for intermittently connected mobile P2P networks, which exploit the spatial locality, spatial regularity, and activity heterogeneity of human mobility to select relays. The first algorithm employs a depth-search approach to diffuse the data towards the destination. The second one adopts a depth-width-search approach in a sense that it diffuses the data not only towards the destination but also to other directions determined by the actively moving nodes (activists) to find better relays. We perform both theoretical analysis as well as a comparison based simulation study. Our results obtained from both the synthetic data and the real world traces reveal that the proposed algorithms outperform the state-of-the-art in terms of delivery latency and delivery ratio.
机译:移动P2P网络是使移动设备能够以非结构化样式自组织并以对等方式进行通信的一种启用技术。由于用户的移动性和/或移动设备的无限制接通/断开,链路间断地连接并且端对端路径可能不存在,从而导致路由问题非常棘手。此外,有限的无线频谱和设备资源,以及便携式设备数量的快速增长和传输数据的数量,使得路由更加困难。为了解决这些挑战,路由算法必须是可伸缩的,分布式的和轻量级的。然而,现有方法通常不能同时满足所有这三个要求。在本文中,我们为间歇连接的移动P2P网络提出了两种机会路由算法,它们利用人类移动性的空间局部性,空间规律性和活动异构性来选择中继。第一种算法采用深度搜索方法将数据扩散到目的地。第二种方法采用深度-宽度搜索方法,从某种意义上说,它不仅将数据传播到目的地,而且还传播到主动移动的节点(活动家)确定的其他方向,以找到更好的中继。我们执行理论分析以及基于比较的模拟研究。我们从综合数据和现实世界的痕迹中获得的结果表明,在传送延迟和传送比率方面,所提出的算法优于最新技术。

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