Camazotz: Multimodal activity-based GPS sampling

Raja Jurdak*, Philipp Sommer, Branislav Kusy, Navinda Kottege, Christopher Crossman, Adam McKeown, David Westcott

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

41 Citations (Scopus)

Abstract

Long-term outdoor localisation with battery-powered devices remains an unsolved challenge, mainly due to the high energy consumption of GPS modules. The use of inertial sensors and short-range radio can reduce reliance on GPS to prolong the operational lifetime of tracking devices, but they only provide coarse-grained control over GPS activity. In this paper, we introduce our feature-rich lightweight Camazotz platform as an enabler of Multimodal Activity-based Localisation (MAL), which detects activities of interest by combining multiple sensor streams for fine-grained control of GPS sampling times. Using the case study of long-term flying fox tracking, we characterise the tracking, connectivity, energy, and activity recognition performance of our module under both static and 3-D mobile scenarios. We use Camazotz to collect empirical flying fox data and illustrate the utility of individual and composite sensor modalities in classifying activity. We evaluate MAL for flying foxes through simulations based on retrospective empirical data. The results show that multimodal activity-based localisation reduces the power consumption over periodic GPS and single sensor-triggered GPS by up to 77% and 14% respectively, and provides a richer event type dissociation for fine-grained control of GPS sampling.

Original languageEnglish
Title of host publicationIPSN 2013
Subtitle of host publicationProceedings of the 12th International Conference on Information Processing in Sensor Networks
Place of PublicationNew York
PublisherACM
Pages67-78
Number of pages12
ISBN (Print)9781450319591
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event12th International Conference on Information Processing in Sensor Networks, IPSN 2013 - Part of CPSWeek 2013 - Philadelphia, PA, United States
Duration: 8 Apr 201311 Apr 2013

Other

Other12th International Conference on Information Processing in Sensor Networks, IPSN 2013 - Part of CPSWeek 2013
CountryUnited States
CityPhiladelphia, PA
Period8/04/1311/04/13

Keywords

  • Tracking
  • Wireless sensor networks

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