Energy-efficient localization : GPS duty cycling with radio ranging

Jurdak, Raja, Corke, Peter, Cotillon, Alban, Dharman, Dhinesh, Crossman, Chris, & Salagnac, Guillaume (2013) Energy-efficient localization : GPS duty cycling with radio ranging. ACM Transactions on Sensor Networks, 9(2), 23:1-23:33.

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GPS is a commonly used and convenient technology for determining absolute position in outdoor environments, but its high power consumption leads to rapid battery depletion in mobile devices. An obvious solution is to duty cycle the GPS module, which prolongs the device lifetime at the cost of increased position uncertainty while the GPS is off. This article addresses the trade-off between energy consumption and localization performance in a mobile sensor network application. The focus is on augmenting GPS location with more energy-efficient location sensors to bound position estimate uncertainty while GPS is off. Empirical GPS and radio contact data from a large-scale animal tracking deployment is used to model node mobility, radio performance, and GPS. Because GPS takes a considerable, and variable, time after powering up before it delivers a good position measurement, we model the GPS behaviour through empirical measurements of two GPS modules. These models are then used to explore duty cycling strategies for maintaining position uncertainty within specified bounds. We then explore the benefits of using short-range radio contact logging alongside GPS as an energy-inexpensive means of lowering uncertainty while the GPS is off, and we propose strategies that use RSSI ranging and GPS back-offs to further reduce energy consumption. Results show that our combined strategies can cut node energy consumption by one third while still meeting application-specific positioning criteria.

Impact and interest:

15 citations in Scopus
4 citations in Web of Science®
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ID Code: 59035
Item Type: Journal Article
Refereed: Yes
Keywords: Localization, Energy, Efficiency, GPS, Mobile, Wireless sensor networks, Animal tracking
DOI: 10.1145/2422966.2422980
ISSN: 1550-4859
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright © 2013 ACM, Inc.
Copyright Statement: This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Vol.9, Issue 2, March 2013
Deposited On: 14 Apr 2013 22:09
Last Modified: 18 May 2013 11:20

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