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dc.contributor.authorLee, Eun Sun
dc.contributor.authorJeyakumar, Jeya Vikranth
dc.contributor.authorBalaji, Bharathan
dc.contributor.authorWilson, Rory P.
dc.contributor.authorSrivastava, Mani
dc.date.accessioned2021-03-28T12:57:10Z
dc.date.available2021-03-28T12:57:10Z
dc.date.issued2017-11-06
dc.identifier.citationLee, E. S., Jeyakumar, J. V., Balaji, B., Wilson, R. P., & Srivastava, M. (2017). AquaMote. Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems. doi:10.1145/3131672.3136992
dc.identifier.isbn9781450354592
dc.identifier.doi10.1145/3131672.3136992
dc.identifier.urihttp://hdl.handle.net/10754/668323
dc.description.abstractTagging animals with sensors is a powerful approach to acquire critical information about the behavioural ecology of free-living animals, which ultimately can provide data to inform best practice in conservation efforts. Sensor tags for such deployments need long lifetimes and incorporate multiple sensors, especially location because space use can contextualize behavior. The tag size needs to be minimal so as not to affect the activities of the animal. Aquatic animals in particular present challenges due to lack of wireless communication and water-proofing. Taking these points into consideration we have designed Aquamote: an ultra-low power, tiny sensor tag (20 x 29 mm2) which integrates accelerometer, gyroscope, magnetometer, depth sensor, GPS and BLE. Our poster will showcase the performance of AquaMote and highlight our design decisions to reduce its size and power consumption.
dc.description.sponsorshipThis research is funded in part by the National Science Foundation under Grant No. NSF CNS-1329755 and by the KAUST Sensor Initiative. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the funding agencies.
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.urlhttps://dl.acm.org/doi/10.1145/3131672.3136992
dc.rightsArchived with thanks to ACM
dc.titleAquaMote
dc.typeConference Paper
dc.conference.date2017-11-06 to 2017-11-08
dc.conference.name15th ACM Conference on Embedded Networked Sensor Systems, SenSys 2017
dc.conference.locationDelft, NLD
dc.eprint.versionPre-print
dc.contributor.institutionUniversity of California Los Angeles, Los Angeles, California
dc.contributor.institutionSwansea University, United Kingdom
dc.identifier.volume2017-January
kaust.grant.numberKAUST Sensor Initiative
dc.identifier.eid2-s2.0-85052021179
kaust.acknowledged.supportUnitSensor Initiative


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