Energy-efficient Localisation: GPS Duty Cycling with Radio Ranging

Abstract : 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 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 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.
Type de document :
Article dans une revue
ACM Transactions on Sensor Networks, Association for Computing Machinery, 2013, 9 (3), 〈http://dl.acm.org/citation.cfm?id=2422980〉. 〈10.1145/2422966.2422980〉
Liste complète des métadonnées

Littérature citée [21 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00912852
Contributeur : Guillaume Salagnac <>
Soumis le : lundi 2 décembre 2013 - 16:58:23
Dernière modification le : mardi 16 janvier 2018 - 14:46:16
Document(s) archivé(s) le : lundi 3 mars 2014 - 10:06:21

Fichier

TOSN13.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Raja Jurdak, Peter Corke, Alban Cotillon, Dhinesh Dharman, Chris Crossman, et al.. Energy-efficient Localisation: GPS Duty Cycling with Radio Ranging. ACM Transactions on Sensor Networks, Association for Computing Machinery, 2013, 9 (3), 〈http://dl.acm.org/citation.cfm?id=2422980〉. 〈10.1145/2422966.2422980〉. 〈hal-00912852〉

Partager

Métriques

Consultations de la notice

210

Téléchargements de fichiers

416