群体中的机会主义网络行为:向目的地传递消息

A. Cheraghi, Julian Zenz, Kalman Graffi
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引用次数: 4

摘要

在群网络模拟器swarm - sim中,对机会点对点网络中的两种消息传递路由算法进行了评价和比较。两种考虑的算法,流行病路由和先知路由,在交付率,效率和开销方面进行了比较,同时提出了不同的移动模型。通过这种方法,我们结合了各种移动模型和一套通信协议,测量它们对群体行为的影响。流行病路由的消息传递速率显著且始终更好。但是,与移动模型和场景无关,PRoPHET产生的开销比流行病路由少。流行病的测量开销超过了先知大约100%。保持传输概率的内存需求——PRoPHET用来避免洪水泛滥——可能是一个限制,因为它们必须在每个节点本地保存,这个细节为未来的进一步研究提供了一些方面。最后,本文证明了Swarm-Sim是一种可行的替代方案,可以模拟机会对等网络中的路由协议,而无需深入了解模拟器的体系结构,从而将自己建立为易于使用的模拟器。它在不影响应用程序灵活性的情况下实现了简单性。
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Opportunistic Network Behavior in a Swarm: Passing Messages to Destination
This paper evaluates and compares two routing algorithms for message passing in opportunistic peer-to-peer networks in the swarm network simulator Swarm-Sim. The two considered algorithms, Epidemic Routing and PRoPHET Routing, are compared in terms of delivery rates, efficiency and overhead, while presenting different mobility models. By this, we combine a variation of mobility models and a set of communication protocols, measuring their impact on the swarm behavior. Message delivery rates for Epidemic routing are considerably and consistently better. However, PRoPHET generates less overhead than Epidemic Routing independent of mobility models and scenarios. The measured overhead of Epidemic exceeded that of PRoPHET by about 100%. Memory requirements for keeping delivery probabilities - used by PRoPHET to circumvent flooding - might be a limitation as they must be kept locally per peer, this detail offers aspects for further research in the future. Finally, this paper demonstrates Swarm-Sim to be a viable alternative to simulate routing protocols in opportunistic peer to peer networks without requiring great insight into the simulator’s architecture and thus establishing itself as an easy to use simulator. It achieves simplicity without yielding any of flexibility of application.
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