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SMART: Utilizing Distributed Social Map for Lightweight Routing in Delay-Tolerant Networks

机译:SMART:利用分布式社交地图在容错网络中进行轻量级路由

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Previous delay-tolerant network (DTN) routing algorithms exploit either past encounter records or social network properties to derive a node's probability of delivering packets to their destinations. However, they only have a local view of the network, which limits the routing efficiency. Also, when two nodes meet, they have to exchange the delivery abilities to the destinations of all packets in the two nodes, which incurs high resource consumption. In this paper, we propose SMART, which utilizes a distributed social map for lightweight routing in delay-tolerant networks. In SMART, each node builds its own social map consisting of nodes it has met and their frequently encountered nodes in a distributed manner. Based on both encountering frequency and social closeness of the two linked nodes in the social map, we decide the weight of each link to reflect the packet delivery ability between the two nodes. The social map enables more accurate forwarder selection through a broader view. Moreover, nodes exchange much less information for social map update, which reduces resource consumption. Trace-driven experiments and tests on the GENI ORBIT testbed demonstrate the high efficiency of SMART in comparison to previous algorithms.
机译:先前的延迟容忍网络(DTN)路由算法利用过去的遭遇记录或社交网络属性来推导节点将数据包传递到目的地的概率。但是,它们仅具有网络的本地视图,这限制了路由效率。另外,当两个节点相遇时,它们必须交换到两个节点中所有分组的目的地的传递能力,这导致高资源消耗。在本文中,我们提出了SMART,它利用分布式社交地图在容错网络中进行轻量级路由。在SMART中,每个节点都以分布式方式构建其自己的社交地图,该社交地图由其遇到的节点及其经常遇到的节点组成。基于社交地图中两个链接节点的遇到频率和社交亲密性,我们确定每个链接的权重以反映两个节点之间的数据包传递能力。社交地图可通过更广阔的视野实现更准确的货运代理选择。此外,节点为社交地图更新交换的信息少得多,这减少了资源消耗。在GENI ORBIT测试床上进行跟踪驱动的实验和测试证明,与以前的算法相比,SMART的效率很高。

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