Effects of various factors on RSSI from positioning point of view with wearables

Md Abdulla Al Mamun, David Vera Anaya, Jean Michel Redoute, Mehmet Rasit Yuce

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

1 Citation (Scopus)

Abstract

Continuous improvement and availability of low-cost commercial off-the-shelf (COTS) sensors with low form factor and low power consumption have recently increased the use of wearable applications dramatically. For most of the cases, spatiotemporal data is crucial for the information acquired by a wearable device, to be meaningful. Received signal strength (RSS) fingerprints based indoor positioning methods have gained intense focus due to their advantages over the other methods. However, RSS-based indoor localization methods are prone to lower accuracies due to the disturbance caused by various factors that affect the signal link quality. Proper knowledge and well understanding of RSS behaviors with different factors can assist in achieving higher accuracy in position estimation. Nevertheless, most of the existing studies overlooked this important aspect. This study demonstrates the effects of several parameters like antenna polarization, sensor placement height, device diversity and presence of the human body on signal RSS value from positioning point of view with wearables. Experiments are conducted using IEEE 802.15.4 based 2.4 GHz radio modules. Analysis of collected data shows that the considered parameters have significant impacts on RSSI that should be taken into account to improve positioning accuracy.

Original languageEnglish
Title of host publication2019 13th International Conference on Sensing Technology (ICST 2019)
EditorsSubhas Mukhopadhyay
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages285-290
Number of pages6
ISBN (Electronic)9781728146317, 9781728148076
ISBN (Print)9781728148083
DOIs
Publication statusPublished - 2019
EventInternational Conference on Sensing Technology 2019 - Sydney, Australia
Duration: 2 Dec 20194 Dec 2019
Conference number: 13th
https://ieeexplore.ieee.org/xpl/conhome/9039856/proceeding

Publication series

NameProceedings of the International Conference on Sensing Technology, ICST
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Volume2019-December
ISSN (Print)2156-8065
ISSN (Electronic)2156-8073

Conference

ConferenceInternational Conference on Sensing Technology 2019
Abbreviated titleICST 2019
CountryAustralia
CitySydney
Period2/12/194/12/19
Internet address

Keywords

  • Fingerprinting
  • IEEE 802.15.4
  • Indoor localization
  • RSSI

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