Mapping swarms of resource-limited sensor motes: solely using distance measurements and non-unique identifiers

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

3 Citations (Scopus)
3 Downloads (Pure)

Abstract

This work is on 3-D localization of sensor motes in massive swarms based solely on 1-D relative distance-measurements between neighbouring motes. We target applications in remote and difficult-to-access environments such as the exploration and mapping of the interior of oil reservoirs where hundreds or thousands of motes are used. These applications bring forward the need to use highly miniaturized sensor motes of less than 1 centimeter, thereby significantly limiting measurement and processing capabilities. These constraints, in combination with additional limitations posed by the environments, impede the communication of unique hardware identifiers, as well as communication with external, fixed beacons.
Original languageEnglish
Title of host publication2016 IEEE Symposium Series on Computational Intelligence (SSCI), 6-9 December 2016, Athens, Greece
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1-8
ISBN (Electronic)978-1-5090-4240-1
ISBN (Print)978-1-5090-4241-8
DOIs
Publication statusPublished - 6 Dec 2016

Fingerprint Dive into the research topics of 'Mapping swarms of resource-limited sensor motes: solely using distance measurements and non-unique identifiers'. Together they form a unique fingerprint.

  • Cite this

    Duisterwinkel, E. H. A., Dubbelman, G., Demi, L., Talnishnikh, E., Bergmans, J. W. M., & Wörtche, H. J. (2016). Mapping swarms of resource-limited sensor motes: solely using distance measurements and non-unique identifiers. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 6-9 December 2016, Athens, Greece (pp. 1-8). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SSCI.2016.7849992