Energy-efficient WiFi scanning for localization

Taehwa Choi, Yohan Chon, Hojung Cha

Research output: Contribution to journalArticle

4 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 languageEnglish
Pages (from-to)124-138
Number of pages15
JournalPervasive and Mobile Computing
Volume37
DOIs
Publication statusPublished - 2017 Jun

Fingerprint

Wi-Fi
Energy Efficient
Mobile devices
Scanning
Energy utilization
Dwell Time
Quality of service
Mobile Devices
Energy Consumption
Control systems
User Experience
Quality of Service
Optimise
Minimise
Predict
Scenarios
Evaluation
Energy

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications
  • Applied Mathematics

Cite this

Choi, Taehwa ; Chon, Yohan ; Cha, Hojung. / Energy-efficient WiFi scanning for localization. In: Pervasive and Mobile Computing. 2017 ; Vol. 37. pp. 124-138.
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Energy-efficient WiFi scanning for localization. / Choi, Taehwa; Chon, Yohan; Cha, Hojung.

In: Pervasive and Mobile Computing, Vol. 37, 06.2017, p. 124-138.

Research output: Contribution to journalArticle

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