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A delay-sensitive mathematical model approach and a distributed algorithm for mobile wireless sensor networks

机译:移动无线传感器网络的时延敏感数学模型方法和分布式算法

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Communication disruptions caused by mobility in wireless sensor networks introduce undesired delays which affect the network performance in delay sensitive applications in MWSN. In order to study the negative effects caused by mobility, we propose a mathematical model to find the minimum cost path between a source node and a destination node considering the nodes position changes across time. Our mathematical model considers the usage of buffers in the nodes to represent the fact of storing a message if there is not an appropriate forwarding node for transmitting it. To contrast our mathematical model results we have designed two kinds of algorithms: the first one takes advantage of the closest neighbours to the destination node in order to reach it as fast as possible from the source node. The second one simply reaches the destination node if a neighbour node is precisely the destination node. Finally, we compare the delay performance of these algorithms against the mathematical model to demonstrate how efficient they are for reaching a destination node.
机译:由无线传感器网络中的移动性引起的通信中断会引入不希望的延迟,从而影响MWSN中对延迟敏感的应用程序的网络性能。为了研究由移动性引起的负面影响,我们提出了一个数学模型,以考虑节点位置随时间变化而找到源节点和目标节点之间的最小成本路径。我们的数学模型考虑了如果没有合适的转发节点来传输消息,则在节点中使用缓冲区来表示存储消息的事实。为了对比我们的数学模型结果,我们设计了两种算法:第一种算法利用最接近目的节点的邻居,以便从源节点尽可能快地到达它。如果邻居节点恰好是目标节点,则第二个仅到达目标节点。最后,我们将这些算法的延迟性能与数学模型进行比较,以证明它们达到目标节点的效率。

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