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Spray: A Multi-Modal Localization System for Stationary Sensor Network Deployment
RISE, Swedish ICT, SICS.ORCID iD: 0000-0001-9314-3980
RISE, Swedish ICT, SICS. (Computer Systems Laboratory)
RISE, Swedish ICT, SICS, Computer Systems Laboratory. Uppsala University, Sweden.ORCID iD: 0000-0002-2586-8573
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We present a localization system that targets rapid deployment of stationary wireless sensor networks (WSN). The system uses a particle filter to fuse measurements from multiple localization modalities, such as RF ranging, neighbor information or maps, to obtain position estimations with higher accuracy than that of the individual modalities. The system isolates different modalities into separate components which can be included or excluded independently to tailor the system to a specific scenario. We show that position estimations can be improved with our system by combining multiple modalities. We evaluate the performance of the system in both an indoor and outdoor environment using combinations of five different modalities. Using two anchor nodes as reference points and combining all five modalities, we obtain RMS (Root Mean Square) estimation errors of approximately 2.5 m in both cases, while using the components individually results in errors within the range of 3.5 and 9 m.

Place, publisher, year, edition, pages
2014, 7. p. 25-32
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-24160DOI: 10.1109/WONS.2014.6814718Scopus ID: 2-s2.0-84901293863OAI: oai:DiVA.org:ri-24160DiVA, id: diva2:1043239
Conference
11th IEEE/IFIP Annual Conference on Wireless On-demand Network Systems and Services
Projects
EvarilosAvailable from: 2016-10-31 Created: 2016-10-31 Last updated: 2019-08-14Bibliographically approved

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Voigt, Thiemo

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  • apa
  • harvard1
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  • Other locale
More languages
Output format
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