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Performance Analysis of Social-Aware Routing Protocols in Delay Tolerant Networks

机译:延迟容忍网络中社交感知路由协议的性能分析

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In opportunistic environments data forwarding is challenging where connectivity is intermittent because of network partitioning, dynamic topologies and long delays. Traditional routing protocols of Delay Tolerant Network (DTN) exploit "Store-Carry-and-Forward" strategy in these cases. But the pitfall of this approach is the selection of perfect relay node and the determination of best data transmission moment in dense and urban areas. To route data in such dynamic, heterogeneous networks social-based routing is an emerging technique that concerns social behaviors and interactions of nodes. Here, we look into the performances of customary routing protocols of DTN, such as Epidemic, Spray-and-Wait (SNW), PRoPHET with two social-aware routing protocols: SCORP and dLife by conducting simulations in Opportunistic Network Environment (ONE) simulator through three criteria, that are: delivery ratio, average latency and transmission cost with necessary simulation settings. The performances are evaluated by varying node density and message Time-To-Live (TTL). From the outcomes of this experiment, it can be said that dLife acts best for delivery ratio but worst for average latency. On the other hand, SNW has best performance for average latency, Epidemic shows lowest performance for both delivery ratio and transmission cost, where SCORP as well as SNW show best performances for transmission cost.
机译:在机会性环境中,由于网络分区,动态拓扑和长时间延迟,连接间歇性的数据转发非常困难。在这些情况下,延迟容忍网络(DTN)的传统路由协议会​​采用“存储-携带-转发”策略。但是,这种方法的缺陷在于选择理想的中继节点,并确定密集和城市地区的最佳数据传输时刻。在这种动态的,异构的网络中路由数据,基于社交的路由​​是一种新兴的技术,它涉及社交行为和节点的交互。在这里,我们通过在机会网络环境(ONE)模拟器中进行模拟,研究了DTN的常规路由协议的性能,例如流行病,喷雾等待(SNW),PRoPHET和两种社交感知路由协议:SCORP和dLife。通过三个标准,即:传输率,平均延迟和具有必要的仿真设置的传输成本。通过更改节点密度和消息生存时间(TTL)来评估性能。从该实验的结果来看,可以说dLife在传送率方面表现最佳,但在平均延迟方面表现最差。另一方面,SNW的平均延迟性能最佳,Epidemic的传输率和传输成本均表现最低,而SCORP和SNW的传输成本均表现最佳。

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