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.
|Number of pages||4|
|Journal||Procedia Computer Science|
|Early online date||13 Apr 2018|
|Publication status||Published - 2018|
|Event||International Conference on Identification,Information and Knowledgein The Internet of Things, 2017 - Qufu, China|
Duration: 19 Oct 2017 → 21 Oct 2017
Bibliographical noteFunding Information:
This work is supported by the Macao FDCT-MOST grant 001/2015/AMJ, and Macao FDCT grants 056/2017/A2, 005/2016/A1, and 104/2014/A3. Qinglin Zhao is the corresponding author.
© 2018 Elsevier Ltd. All rights reserved.
- correlation detection