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Wireless Relay Selection in Pocket Switched Networks Based on Spatial Regularity of Human Mobility

机译:基于人员流动空间规律的袖珍交换网络中无线中继选择

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摘要

Pocket switched networks (PSNs) take advantage of human mobility to deliver data. Investigations on real-world trace data indicate that human mobility shows an obvious spatial regularity: a human being usually visits a few places at high frequencies. These most frequently visited places form the home of a node, which is exploited in this paper to design two HomE based Relay selectiOn (HERO) algorithms. Both algorithms input single data copy into the network at any time. In the basic HERO, only the first node encountered by the source and whose home overlaps a destination’s home is selected as a relay while the enhanced HERO keeps finding more optimal relay that visits the destination’s home with higher probability. The two proposed algorithms only require the relays to exchange the information of their home and/or the visiting frequencies to their home when two nodes meet. As a result, the information update is reduced and there is no global status information that needs to be maintained. This causes light loads on relays because of the low communication cost and storage requirements. Additionally, only simple operations are needed in the two proposed algorithms, resulting in little computation overhead at relays. At last, a theoretical analysis is performed on some key metrics and then the real-world based simulations indicate that the two HERO algorithms are efficient and effective through employing only one or a few relays.
机译:袖珍交换网络(PSN)利用人类移动性来传递数据。对现实世界跟踪数据的调查表明,人员流动具有明显的空间规律性:一个人通常会以较高的频率访问几个地方。这些最常访问的地方构成了节点的家,本文将其用于设计两种基于HomE的中继选择(HERO)算法。两种算法都可以随时将单个数据副本输入到网络中。在基本HERO中,只有源遇到的第一个节点且其房屋与目标房屋重叠的节点才被选作中继站,而增强型HERO会继续寻找更佳的中继点,以较高的概率访问目标房屋。所提出的两种算法仅要求中继器在两个节点相遇时将其家园和/或访问频率的信息交换到其家园。结果,减少了信息更新,并且不需要维护全局状态信息。由于较低的通信成本和存储要求,这会在继电器上造成轻负载。另外,在两个提出的算法中仅需要简单的操作,从而导致继电器的计算开销很小。最后,对一些关键指标进行了理论分析,然后基于真实世界的仿真表明,这两种HERO算法通过仅使用一个或几个继电器便有效而有效。

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