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On Stability and Sampling Schemes for Wireless Sensor Networks

机译:关于无线传感器网络的稳定性和采样方案

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We consider a wireless sensor network in which the sensor nodes are sources of delay insensitive traffic that needs to be transferred in a multi-hop fashion to a common processing center. We consider two data sampling schemes: a) the sensor nodes have a sampling process independent of the transmission scheme, and b) the sensor nodes sample new data only when it has a opportunity of transmitting the data. The first system is like the packet radio network for which exact analysis is not available. We also show that the stability condition proposed in the PRN literature is not accurate. A correct stability condition for such a system is provided. It is also observed that the second scheme gives a better performance in terms of delays and moreover is amenable to analysis. We then address the problem of optimal routing that aims at minimizing the end-to-end delays. Since we allow for traffic splitting at source nodes, we propose an algorithm that seeks the Wardrop equilibrium instead of a single least delay path. The algorithm is implemented in TinyOS and numerical results from the implementation are provided.
机译:我们考虑一种无线传感器网络,其中传感器节点是延迟不敏感流量的源,需要以多跳时的方式传送到公共处理中心。我们考虑两个数据采样方案:a)传感器节点具有独立于传输方案的采样过程,B)仅当它有机会传输数据时,传感器节点才会采样新数据。第一个系统就像数据包无线电网络,其中不可用的精确分析。我们还表明,PRN文献中提出的稳定条件不准确。提供了这种系统的正确稳定性条件。还观察到,第二方案在延迟方面给出了更好的性能,而且可以进行分析。然后,我们解决了最佳路由的问题,旨在最大限度地减少端到端延迟。由于我们允许在源节点处进行流量分割,因此我们提出了一种寻求Wardrop平衡而不是单个最小延迟路径的算法。该算法在TinyOS中实现,提供了来自实现的数值结果。

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