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首页> 外文期刊>International journal of wireless and mobile computing >Estimation of hop count in multi-hop wireless sensor networks with arbitrary node density
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Estimation of hop count in multi-hop wireless sensor networks with arbitrary node density

机译：具有任意节点密度的多跳无线传感器网络中跳数的估计

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摘要

In multi-hop wireless sensor networks, the number of hops between the source and the destination has a significant impact on network performance and has been extensively identified in the literature. However, the methods most commonly used significantly underestimate the number of hops for sparse networks. The impact of node density is significant, and this factor is not adequately addressed. In effect, many schemes to calculate hop count imply geographic routing, even if they intend to consider the shortest path routes. Therefore, we propose a new technique for estimating hop count. We consider the hop progress when the network nodes are uniformly deployed and the shortest path between the source and the destination is selected. We determine a distribution of the remaining distance to destination. In order to correctly capture the situation for a sparse network, we examine the selection of the next neighbour node as a relaying node for the next hop. The analytical model is verified by simulation.
机译：在多跳无线传感器网络中，源与目的地之间的跳数会对网络性能产生重大影响，并且在文献中已得到广泛识别。但是，最常用的方法大大低估了稀疏网络的跳数。节点密度的影响是很大的，并且这个因素没有得到适当解决。实际上，许多计算跳数的方案都暗示了地理路由，即使它们打算考虑最短路径路由也是如此。因此，我们提出了一种估计跳数的新技术。当网络节点被统一部署并且选择了源和目的地之间的最短路径时，我们考虑了跳的进度。我们确定到目的地的剩余距离的分布。为了正确地捕获稀疏网络的情况，我们检查了下一个邻居节点作为下一跳的中继节点的选择。通过仿真验证了解析模型。

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