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Application-optimized quantizers for time delay estimation in sensor networks

机译:应用优化的量化器,用于传感器网络中的时延估计

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Sensor networks have emerged as a fundamentally new tool for monitoring inaccessible environments. They are distinguished from traditional sensors by strict limitations on system bandwidth and sensor energy resources. These constraints motivate the use of data compression at each sensor. Location finding is an important application of sensor networks, and estimation of the time delay between data from different sensors is a key step in localization. In this work, new quantizer designs specific to the time-delay estimation problem in sensor networks are presented. The goal for these new application-specific encoders is to achieve the best time delay estimate at a given bandwidth budget or latency bound, or minimize the rate required to reach an estimate with desired accuracy.
机译:传感器网络已经成为监视不可访问环境的根本性新工具。它们与传统传感器的区别在于对系统带宽和传感器能量资源的严格限制。这些限制促使在每个传感器上使用数据压缩。位置查找是传感器网络的重要应用,估计来自不同传感器的数据之间的时间延迟是定位的关键步骤。在这项工作中,提出了针对传感器网络中的时延估计问题的新型量化器设计。这些新的专用编码器的目标是在给定的带宽预算或等待时间限制内获得最佳的时间延迟估计,或最小化以期望的精度达到估计所需的速率。

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