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Location-aware opportunistic forwarding in mobile opportunistic networks

机译:移动机会网络中的位置感知机会转发

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In mobile opportunistic networks, the ad hoc nodes with high mobility are expected to have many opportunities of node contacts and serving message forwarding. Here we considering two typical mobility models, e.g., the RWP(Random WayPoint) model and Manhattan model, where the probabilistic characteristics of the node contact provided by the mobile nodes are explored. Furthermore we propose a Location-Aware Opportunistic Forwarding scheme, which exploits the location information of the messages and the node mobility for message forwarding. The message is forwarded to its destination regions or neighbor regions to improve the delivery ratio and reduce the network overhead. We construct a simulation environment, integrated with the RWP mobility trace and the city taxis' traces. Through extensive simulations, our scheme is demonstrated to outperform the best known opportunistic forwarding algorithms in terms of both delivery ratio/latency and transmission overhead.
机译:在移动机会网络中,具有高移动性的自组织节点被期望具有节点联系和服务消息转发的许多机会。这里我们考虑两个典型的移动性模型,例如RWP(Random WayPoint)模型和Manhattan模型,其中探讨了移动节点提供的节点联系的概率特征。此外,我们提出了一种位置感知机会转发方案,该方案利用消息的位置信息和节点移动性进行消息转发。将该消息转发到其目标区域或邻居区域,以提高传递比率并减少网络开销。我们构建了一个模拟环境,并将其与RWP的移动轨迹和城市出租车的轨迹集成在一起。通过广泛的仿真,我们的方案在传送率/延迟和传输开销方面均表现出优于最著名的机会转发算法。

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