Experiments on localization of wireless sensors using airborne mobile anchors

Izanoordina Ahmad, Neil Bergmann, Raja Jurdak, Branislav Kusy

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

10 Citations (Scopus)

Abstract

An important aspect of Wireless Sensor Network (WSN) operation is identifying the physical location of each sensor in 3-D space - a process known as localization where an anchor with known location determines the location of other location-blind nodes. In this paper, we present a detailed performance analysis of three scenarios: (1) localization of blind nodes using an airborne mobile anchor; (2) fixed ground anchors only; and (3) using the combination of fixed anchor and mobile anchors. Matlab simulations were carried out to explore the impact on localization error based on random and designated positions of mobile anchors, the number of mobile anchor positions used, and the variability of Received Signal Strength Indicator (RSSI) range measurements as part of the objectives of this experiment. Results show that a designated flight path is better than random anchor positions, and that localization error increases quickly with RSSI variability, while poor anchor geometry yields large errors. Somewhat surprisingly, adding ground based anchors does not improve localization. Approximately 6 to 13 RSSI readings give the best localization accuracy.

Original languageEnglish
Title of host publication2015 IEEE Conference on Wireless Sensors, ICWiSE 2015
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Electronic)9781467393980
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventIEEE Conference on Wireless Sensors, ICWiSE 2015 - Melaka, Malaysia
Duration: 24 Aug 201526 Aug 2015

Other

OtherIEEE Conference on Wireless Sensors, ICWiSE 2015
CountryMalaysia
CityMelaka
Period24/08/1526/08/15

Keywords

  • 3D
  • airborne mobile anchor
  • blind node
  • localization
  • Received Signal Strength Indicator
  • wireless sensor network

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