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Reliable routing in mobile ad hoc networks based on mobility prediction

机译:基于移动性预测的移动自组织网络中的可靠路由

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Reliability is a major issue in mobile ad hoc routing. Shortest paths are usually used to route packets in mobile ad hoc networks (MANET) However, a shortest path may fail quickly, because some of the wireless links on the shortest path may be broken shortly after the path is established due to mobility of mobile nodes. Rediscovering routes can result in substantial data loss and communication overheads. We consider a MANET in the urban environment. We formulate and study two optimization problems related to reliable routing in MANET. In the minimum cost duration-bounded path (MCDBP) routing problem, we seek a minimum cost source to destination path with duration no less than a given threshold. In the maximum duration cost-bounded path (MDCBP) routing problem, we seek a maximum duration source to destination path with cost no greater than a given constraint. We use a waypoint graph to model the working area of a MANET and present an offline algorithm to compute a duration prediction table for the given waypoint graph. An entry in the duration prediction table contains the guaranteed worst-case duration of the corresponding wireless link. We then present an efficient algorithm which computes a minimum cost duration-bounded path, using the information provided in the duration prediction table. We also present an heuristic algorithm for the MDCBP routing problem. Our simulation results show that our mobility prediction based routing algorithms lead to better network throughput and longer average path duration, compared with the shortest path algorithm.
机译:可靠性是移动自组织路由中的主要问题。最短路径通常用于在移动自组织网络(MANET)中路由数据包,但是,最短路径可能会很快失败,因为由于移动节点的移动性,最短路径上的某些无线链接可能会在建立路径后不久就断开。 。重新发现路由可能会导致大量数据丢失和通信开销。我们考虑在城市环境中的MANET。我们制定和研究与MANET中可靠路由相关的两个优化问题。在最小成本持续时间边界路径(MCDBP)路由问题中,我们寻求到持续时间不小于给定阈值的最小成本源到目标路径。在最大持续时间成本边界路径(MDCBP)路由问题中,我们寻求成本不大于给定约束的最大持续时间源到目标路径。我们使用路标图对MANET的工作区域建模,并提出一种离线算法来计算给定路标图的工期预测表。持续时间预测表中的条目包含相应无线链路的保证的最坏情况持续时间。然后,我们提出一种有效的算法,该算法使用持续时间预测表中提供的信息来计算最小成本持续时间受限的路径。我们还提出了MDCBP路由问题的启发式算法。我们的仿真结果表明,与最短路径算法相比,基于移动性预测的路由算法可带来更好的网络吞吐量和更长的平均路径持续时间。

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