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Paradox of Shortest Path Routing for Large Multi-Hop Wireless Networks

机译:大型多跳无线网络的最短路径路径的悖论

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In this paper, we analyze the impact of straight line routing in large homogeneous multi-hop wireless networks. We estimate the nodal load, which is defined as the number of packets served at a node, induced by straight line routing. For a given total offered load on the network, our analysis shows that the nodal load at each node is a function of the node's Voronoi cell, the node's location in the network, and the traffic pattern specified by the source and destination randomness and straight line routing. The traffic pattern determines where the hot spot is created in the network, and straight line routing itself can balance the relay load in certain cases. In the asymptotic regime, each node's probability that the node serves a packet arriving to the network can be approximated as the multiplication of a half length of its Voronoi cell perimeter and the probability density function that a packet goes through the node's location. Both simulations and analysis confirm that this approximation converges to the exact value. The scaling order of network performance in our analysis is independent of traffic patterns generated by source-destination pair randomness, but for a given node the performance of each node is strongly related to the source-destination pair randomness.
机译:在本文中,我们分析了大型均匀多跳无线网络中直线路由的影响。我们估计了Nodal负载,其被定义为通过直线路由引起的节点处的数据包数。对于网络上的给定总提供的负载,我们的分析表明每个节点处的节点负载是节点的voronoi小区的函数,网络中的节点的位置,以及源和目标随机性和直线指定的流量模式路由。流量模式确定在网络中创建的热点,直线路由本身可以在某些情况下平衡继电器负载。在渐近状态下,节点的概率可以近似作为到达网络的分组可以近似作为其Voronoi小区周长的半长度的乘法以及分组通过节点的位置的概率密度函数。仿真和分析都确认此近似会聚到确切值。我们分析中的网络性能的缩放顺序是独立于源目标对随机性生成的业务模式,而是对于给定节点,每个节点的性能与源目的地对随机性密切相关。

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