Adaptive GPS duty cycling and radio ranging for energy-efficient localization

Raja Jurdak*, Peter Corke, Dhinesh Dharman, Guillaume Salagnac

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

52 Citations (Scopus)

Abstract

This paper addresses the tradeoff 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 in order to prolong node lifetime. We use empirical GPS and radio contact data from a largescale animal tracking deployment to model node mobility, GPS and radio performance. These models are 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 a versatile contact logging strategy that relies on RSSI ranging and GPS lock back-offs for reducing the node energy consumption relative to GPS duty cycling. Results show that our strategy can cut the node energy consumption by half while meeting applicationspecific positioning criteria.

Original languageEnglish
Title of host publicationSenSys 2010 - Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Place of PublicationNew York
PublisherACM
Pages57-70
Number of pages14
ISBN (Print)9781450303446
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event8th ACM International Conference on Embedded Networked Sensor Systems, SenSys 2010 - Zurich, Switzerland
Duration: 3 Nov 20105 Nov 2010

Other

Other8th ACM International Conference on Embedded Networked Sensor Systems, SenSys 2010
CountrySwitzerland
CityZurich
Period3/11/105/11/10

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    Jurdak, R., Corke, P., Dharman, D., & Salagnac, G. (2010). Adaptive GPS duty cycling and radio ranging for energy-efficient localization. In SenSys 2010 - Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (pp. 57-70). New York: ACM. https://doi.org/10.1145/1869983.1869990