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Analysis and Control of IR-UWB Sensor Networks for Distributed Detection Applications

机译:用于分布式检测应用的IR-UWB传感器网络的分析和控制

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摘要

The limited battery power of sensor nodes in wireless sensor networks requires both energy efficient hardware and power-aware design methodologies. If IR-UWB is employed as transmission technology, transceiver units with very low energy consumption can be realized. In this paper, power allocation algorithms for IR-UWB sensor networks are presented that are designed for distributed signal detection under resource constraints. The objective is to minimize the global probability of error of the detection system given a fixed level of total transmission power. The cross-layer approach for the allocation of transmission power is based on individual sensor detection quality as well as fading conditions and leads to significant performance gains compared to uniform power assignment for both the parallel and the serial sensor network topology. Furthermore, it is revealed which sensor network topology becomes advantageous under different resource constraints. It turns out that in the practically relevant case of low transmission power, the serial topology outperforms the parallel one up to a significantly higher number of nodes, compared to the case without resource constraints.
机译:无线传感器网络中传感器节点的有限电池电量需要高效的硬件和功耗感知设计方法。如果采用IR-UWB作为传输技术,则可以实现能耗极低的收发器单元。在本文中,提出了IR-UWB传感器网络的功率分配算法,该算法旨在用于资源受限的分布式信号检测。目的是在给定总传输功率水平的情况下,将检测系统的整体错误概率降至最低。用于传输功率分配的跨层方法基于单个传感器的检测质量以及衰落条件,与并行和串行传感器网络拓扑的均匀功率分配相比,可显着提高性能。此外,揭示了在不同资源约束下哪种传感器网络拓扑变得有利。事实证明,与没有资源限制的情况相比,在实际相关的低传输功率情况下,串行拓扑的性能要好于并行拓扑,最多可支持更多的节点。

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