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Random Access Compressed Sensing (RACS) is an efficient method for data gathering from a network of distributed sensors with limited resources. RACS relies on integrating random sensing with the communication architecture, and achieves overall efficiency in terms of the energy per bit of information successfully delivered. To address realistic deployment conditions, the authors consider data gathering over a fading and noisy communication channel. They provide a framework for system design under various fading conditions, and quantify the bandwidth and energy requirements of RACS in fading.
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