Using Received Signal Strength to Detect a Real Wake-Up Call for On-Demand WiFi Wake-Up

Tomoyuki TANI; Hiroyuki YOMO

doi:10.1587/transcom.2015EBP3437

Using Received Signal Strength to Detect a Real Wake-Up Call for On-Demand WiFi Wake-Up

Tomoyuki TANI, Hiroyuki YOMO

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This paper considers on-demand WiFi wake-up where a wake-up receiver is installed into each WiFi device. The wake-up receiver detects a wake-up call by finding the predefined length of WiFi frames, which corresponds to a wake-up ID, through envelope detection with limited signal processing. Since each wake-up receiver continuously observes the WiFi channel, an adverse event of False Positive (FP), where a WiFi device is falsely turned on without actual wake-up calls, can occur when the length of non-wake-up, background data frames match with predefined length. In this paper, we suggest using the received signal strength (RSS) of WiFi frames to differentiate the real and false wake-up calls. The proposed scheme exploits the correlation among RSSs of WiFi frames received from a single station located in a fixed position. Using measured RSS data obtained under various settings and different degrees of mobility, we investigate not only the FP reduction rate but also its impact on the probability of detecting real wake-up calls. We also present experimental results obtained with our prototype in which the proposed scheme is implemented.

Publication: IEICE TRANSACTIONS on Communications Vol.E99-B No.7 pp.1609-1618

Publication Date: 2016/07/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2015EBP3437

Type of Manuscript: PAPER

Category: Terrestrial Wireless Communication/Broadcasting Technologies

Authors

Tomoyuki TANI
Kansai University
Hiroyuki YOMO
Kansai University

Keyword

WiFi, wake-up receiver, energy-saving, IEEE 802.11, experimental prototype and implementation

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Tomoyuki TANI, Hiroyuki YOMO, "Using Received Signal Strength to Detect a Real Wake-Up Call for On-Demand WiFi Wake-Up" in IEICE TRANSACTIONS on Communications, vol. E99-B, no. 7, pp. 1609-1618, July 2016, doi: 10.1587/transcom.2015EBP3437.
Abstract: This paper considers on-demand WiFi wake-up where a wake-up receiver is installed into each WiFi device. The wake-up receiver detects a wake-up call by finding the predefined length of WiFi frames, which corresponds to a wake-up ID, through envelope detection with limited signal processing. Since each wake-up receiver continuously observes the WiFi channel, an adverse event of False Positive (FP), where a WiFi device is falsely turned on without actual wake-up calls, can occur when the length of non-wake-up, background data frames match with predefined length. In this paper, we suggest using the received signal strength (RSS) of WiFi frames to differentiate the real and false wake-up calls. The proposed scheme exploits the correlation among RSSs of WiFi frames received from a single station located in a fixed position. Using measured RSS data obtained under various settings and different degrees of mobility, we investigate not only the FP reduction rate but also its impact on the probability of detecting real wake-up calls. We also present experimental results obtained with our prototype in which the proposed scheme is implemented.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3437/_p

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@ARTICLE{e99-b_7_1609,
author={Tomoyuki TANI, Hiroyuki YOMO, },
journal={IEICE TRANSACTIONS on Communications},
title={Using Received Signal Strength to Detect a Real Wake-Up Call for On-Demand WiFi Wake-Up},
year={2016},
volume={E99-B},
number={7},
pages={1609-1618},
abstract={This paper considers on-demand WiFi wake-up where a wake-up receiver is installed into each WiFi device. The wake-up receiver detects a wake-up call by finding the predefined length of WiFi frames, which corresponds to a wake-up ID, through envelope detection with limited signal processing. Since each wake-up receiver continuously observes the WiFi channel, an adverse event of False Positive (FP), where a WiFi device is falsely turned on without actual wake-up calls, can occur when the length of non-wake-up, background data frames match with predefined length. In this paper, we suggest using the received signal strength (RSS) of WiFi frames to differentiate the real and false wake-up calls. The proposed scheme exploits the correlation among RSSs of WiFi frames received from a single station located in a fixed position. Using measured RSS data obtained under various settings and different degrees of mobility, we investigate not only the FP reduction rate but also its impact on the probability of detecting real wake-up calls. We also present experimental results obtained with our prototype in which the proposed scheme is implemented.},
keywords={},
doi={10.1587/transcom.2015EBP3437},
ISSN={1745-1345},
month={July},}

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TY - JOUR
TI - Using Received Signal Strength to Detect a Real Wake-Up Call for On-Demand WiFi Wake-Up
T2 - IEICE TRANSACTIONS on Communications
SP - 1609
EP - 1618
AU - Tomoyuki TANI
AU - Hiroyuki YOMO
PY - 2016
DO - 10.1587/transcom.2015EBP3437
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2016
AB - This paper considers on-demand WiFi wake-up where a wake-up receiver is installed into each WiFi device. The wake-up receiver detects a wake-up call by finding the predefined length of WiFi frames, which corresponds to a wake-up ID, through envelope detection with limited signal processing. Since each wake-up receiver continuously observes the WiFi channel, an adverse event of False Positive (FP), where a WiFi device is falsely turned on without actual wake-up calls, can occur when the length of non-wake-up, background data frames match with predefined length. In this paper, we suggest using the received signal strength (RSS) of WiFi frames to differentiate the real and false wake-up calls. The proposed scheme exploits the correlation among RSSs of WiFi frames received from a single station located in a fixed position. Using measured RSS data obtained under various settings and different degrees of mobility, we investigate not only the FP reduction rate but also its impact on the probability of detecting real wake-up calls. We also present experimental results obtained with our prototype in which the proposed scheme is implemented.
ER -