Energy-efficient WiFi scanning for localization

Taehwa Choi; Yohan Chon; Hojung Cha

doi:10.1016/j.pmcj.2016.07.005

Energy-efficient WiFi scanning for localization

Taehwa Choi, Yohan Chon, Hojung Cha

College of Computing

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

WiFi radio signals are commonly used for the localization of mobile devices. However, frequent scanning of WiFi reduces user experiences because it consumes significant energy on mobile devices. In this paper, we propose an energy-efficient WiFi scan system for localization. The proposed system preserves the quality of service of each application and minimizes the energy consumption of WiFi scanning. The main idea is that the system adaptively controls the dwell time of beacon-listening in given locations. We predict the number of scanned access points (APs) according to locations and optimize the dwell time of beacon-listening to obtain the minimum number of scanned APs. The evaluation shows that the proposed system saves the energy consumption of WiFi scans by 33.6% and 45.7%, according to the number of scanned APs, while not decreasing the accuracy of localization in indoor and outdoor scenarios.

Original language	English
Pages (from-to)	124-138
Number of pages	15
Journal	Pervasive and Mobile Computing
Volume	37
DOIs	https://doi.org/10.1016/j.pmcj.2016.07.005
Publication status	Published - 2017 Jun

Bibliographical note

Publisher Copyright:
© 2016 Elsevier B.V.

All Science Journal Classification (ASJC) codes

Software
Information Systems
Hardware and Architecture
Computer Science Applications
Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.pmcj.2016.07.005

Cite this

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title = "Energy-efficient WiFi scanning for localization",

abstract = "WiFi radio signals are commonly used for the localization of mobile devices. However, frequent scanning of WiFi reduces user experiences because it consumes significant energy on mobile devices. In this paper, we propose an energy-efficient WiFi scan system for localization. The proposed system preserves the quality of service of each application and minimizes the energy consumption of WiFi scanning. The main idea is that the system adaptively controls the dwell time of beacon-listening in given locations. We predict the number of scanned access points (APs) according to locations and optimize the dwell time of beacon-listening to obtain the minimum number of scanned APs. The evaluation shows that the proposed system saves the energy consumption of WiFi scans by 33.6% and 45.7%, according to the number of scanned APs, while not decreasing the accuracy of localization in indoor and outdoor scenarios.",

keywords = "Energy saving, Indoor localization, WPS, WiFi fingerprinting",

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language = "English",

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T1 - Energy-efficient WiFi scanning for localization

AU - Choi, Taehwa

AU - Chon, Yohan

AU - Cha, Hojung

PY - 2017/6

Y1 - 2017/6

N2 - WiFi radio signals are commonly used for the localization of mobile devices. However, frequent scanning of WiFi reduces user experiences because it consumes significant energy on mobile devices. In this paper, we propose an energy-efficient WiFi scan system for localization. The proposed system preserves the quality of service of each application and minimizes the energy consumption of WiFi scanning. The main idea is that the system adaptively controls the dwell time of beacon-listening in given locations. We predict the number of scanned access points (APs) according to locations and optimize the dwell time of beacon-listening to obtain the minimum number of scanned APs. The evaluation shows that the proposed system saves the energy consumption of WiFi scans by 33.6% and 45.7%, according to the number of scanned APs, while not decreasing the accuracy of localization in indoor and outdoor scenarios.

AB - WiFi radio signals are commonly used for the localization of mobile devices. However, frequent scanning of WiFi reduces user experiences because it consumes significant energy on mobile devices. In this paper, we propose an energy-efficient WiFi scan system for localization. The proposed system preserves the quality of service of each application and minimizes the energy consumption of WiFi scanning. The main idea is that the system adaptively controls the dwell time of beacon-listening in given locations. We predict the number of scanned access points (APs) according to locations and optimize the dwell time of beacon-listening to obtain the minimum number of scanned APs. The evaluation shows that the proposed system saves the energy consumption of WiFi scans by 33.6% and 45.7%, according to the number of scanned APs, while not decreasing the accuracy of localization in indoor and outdoor scenarios.

KW - Energy saving

KW - Indoor localization

KW - WPS

KW - WiFi fingerprinting

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JO - Pervasive and Mobile Computing

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Energy-efficient WiFi scanning for localization

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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