Performance Analysis of Detecting Packet Arrival for Downclocking Wi-Fi

Zhimin WANG, Qinglin ZHAO*, Fangxin XU, Hongning DAI

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

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.

Original languageEnglish
Pages (from-to)141-144
Number of pages4
JournalProcedia Computer Science
Volume129
Early online date13 Apr 2018
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventInternational Conference on Identification,Information and Knowledgein The Internet of Things, 2017 - Qufu, China
Duration: 19 Oct 201721 Oct 2017

Bibliographical note

Funding 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.

Publisher Copyright:
© 2018 Elsevier Ltd. All rights reserved.

Keywords

  • correlation detection
  • Downclocking
  • E-MiLi
  • SRID
  • Wi-Fi

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