Abstract
Energy-Minimizing idle Listening (E-MiLi) is a Wi-Fi power-saving amendment using a state-of-the-art downclocking technique that reduces power consumption by lowering sampling rate. It introduces a Sampling Rate Invariant Detection (SRID) algorithm to detect packet arrival at a low clock rate. Upon a successful detection, the node reverts to a full clock rate to receive the packet immediately. In this paper, we theoretically study the crucial impact of SRID attributes (e.g., downclocking factor, correlation threshold, energy ratio threshold and tolerance threshold) on the packet detection performance, namely, the false-alarm probability and the successful detection probability. Extensive Monte Carlo results show that our performance model is very accurate.
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