Detection in decentralized sensor networks
Detection in decentralized sensor networks
复制标题
分散式传感器网络中的检测
DOI：
10.1109/icassp.2004.1326248
复制
发表时间：
2004
期刊：
影响因子：
--
通讯作者：
José M. F. Moura
中科院分区：
文献类型：
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作者：
Saeed A. Aldosari;José M. F. Moura
集成技术的进步正在使许多廉价的、可部署的自主传感器网络成为现实。单独来说，每个传感器可能完成不了太多事情，但协同工作，例如它们有可能监控大范围区域，检测目标的存在或不存在，或跟踪移动对象。这些传感器在稀缺的电力和其他有限资源(如带宽或计算能力)的限制下运行。本文考虑的是这样一个分布式传感器环境中的检测问题。我们研究了在公共接入通信信道的速率约束下，传感器数量、每个传感器的量化电平数量或信噪比等参数对检测性能的影响，以错误概率来衡量。当传感器数目较多时，我们对局部检测器进行优化。结果表明，由于量化引起的性能损失随着每个传感器比特数的增加呈指数级快速衰减，并且在硬和软局部检测器之间的选择不仅取决于噪声分布和量化速率，而且还取决于传感器工作时的信噪比。
Advances in integrated technologies are making networks of many inexpensive deployable autonomous sensors a reality. Individually, each sensor may not accomplish much, but working cooperatively they have for example the potential to monitor large areas, detect the presence or absence of targets, or track moving objects. These sensors operate under constraints imposed by scarce power and other limited resources like bandwidth or computing capacity. The paper considers detection in such a distributed sensor environment. We investigate the impact on detection performance, as measured by the probability of error, of such parameters as number of sensors, number of quantization levels at each sensor, or signal to noise ratio, under a rate constraint on the common access communications channel. We optimize the local detectors when the number of sensors is large. We show that the performance loss due to quantization decays exponentially fast as the number of bits per sensor increases and that the choice between hard versus soft local detectors depends not only on the noise distribution and the quantization rate, but also on the SNR under which the sensors operate.