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A novel epidemic routing based on mobility and occurrence probability in buffer-limited opportunistic networks

机译:缓冲区受限机会网络中基于移动性和发生概率的新型流行病路由

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摘要

Under the opportunistic network environments, normal network protocols can hardly transfer data successfully and efficiently. In order to overcome this problem, many new routing algorithms have been raised pertinently. Thereinto, the Epidemic routing algorithm is a typical approach, which maintains least delay with a highest delivery ratio. However, it is a defective method for routing data as it requires an infinite node cache and results in infinite circulate even one of the data duplicates arrived at the destination, which is proved to be an extremely limitation on its routing performance. Confronted with this drawback, this paper puts forward a novel Epidemic Routing based on Mobility and Probability of Occurrence (MPOER), which endows message with a "Hop Life" dynamically. And, we formulates with a simulation platform called "The ONE", and the experiment shows that the approach proposed can increase the routing performance in several aspects just sacrifice some delay performance.
机译:在机会网络环境下,普通的网络协议几乎无法成功有效地传输数据。为了克服该问题,相关地提出了许多新的路由算法。其中,流行路由算法是一种典型的方法,它以最小的延迟保持最高的传递比率。但是,这是一种路由数据的有缺陷的方法,因为它需要无限的节点高速缓存,并且即使到达目的地的数据重复之一也导致无限循环,这被证明是对其路由性能的极大限制。面对这一缺点,本文提出了一种基于移动性和发生概率(MPOER)的新型流行病路由,它为消息动态地赋予了“生命周期”。并且,我们使用称为“ ONE”的仿真平台进行了公式化,实验表明,所提出的方法可以在几个方面提高路由性能,而只是牺牲了一些延迟性能。

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