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A Social Relation Aware Hybrid Service Discovery Mechanism for Intermittently Connected Wireless Network

机译:间歇性连接无线网络的社会关系感知混合服务发现机制

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In intermittently connected wireless network, service discovery is utilized to identify the best relay to process packets for the service registration, selection and activation. Since packets are transmitted by intermittently connected nodes, the service discovery is challenging due to the partitioned topology, long delays, and dynamic social feature. To maximize the utilization of limited network resources, in this paper, a hybrid service discovery architecture including Virtual Dictionary Node (VDN) is proposed. According to the historical data of movement, all nodes can discover their relationships with others. Subsequently, according to the node activity, VDN is chosen to facilitate the service registration procedure. Further, the service information outside of a home community can be obtained through Global Active Node (GAN) to support the service selection. To improve the utilization of network resources and provide quality services, a Service Providing Node (SPN) is determined among multiple candidates. Simulation results show that, when compared with other classical service algorithms, the proposed scheme can improve the successful service discovery ratio by 25 % with reduced overheads.
机译:在间歇连接的无线网络中,利用服务发现来识别最佳中继,以处理用于服务注册,选择和激活的数据包。由于数据包是通过间歇性连接的节点传输的,由于分区拓扑,延迟长和动态的社交功能,服务发现具有挑战性。为了最大限度地利用有限的网络资源,本文提出了一种包括虚拟词典节点(VDN)的混合服务发现架构。根据移动的历史数据,所有节点都可以发现它们与其他节点的关系。随后,根据节点活动,选择VDN以简化服务注册过程。此外,可以通过全球活动节点(GAN)获得家庭社区外部的服务信息,以支持服务选择。为了提高网络资源的利用率并提供优质的服务,在多个候选者之间确定了服务提供节点(SPN)。仿真结果表明,与其他经典的服务算法相比,该方案可以将成功的服务发现率提高25%,并减少开销。

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