Preprocessing technique to signal strength data of wireless sensor network for real-time distance estimation

Flavio Cabrera, Jizhong Xiao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

There is a real need in the robotics and wireless sensor network (WSN) communities for the estimation of the geolocation of wireless agents. The received signal strength indicator (RSSI), a common metric in most networking hardware, has been reputed as a very unreliable method for doing the job, due to its vulnerability to environmental factors. Nevertheless, it still remains as the most prevalent estimator of distance between agents on many research projects. Multipath fading, shadowing and other effects that the environment exerts over a signal while propagating are regarded as the main cause of such vulnerability. Although some success has been obtained using RSSI outdoors where the effects are less noticeable, indoor settings remain an unconquered territory. The main motivation of this paper is to establish whether, in real time applications, the use of preprocessing techniques over partial raw collected data helps the RSSI to be a suitable estimator of distance. We propose one such technique and the results suggest that its use may indeed assist the obtainment of more accurate distance estimations while using RSSI.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Robotics and Automation, ICRA 2008
Pages1537-1542
Number of pages6
DOIs
StatePublished - Sep 18 2008
Event2008 IEEE International Conference on Robotics and Automation, ICRA 2008 - Pasadena, CA, United States
Duration: May 19 2008May 23 2008

Other

Other2008 IEEE International Conference on Robotics and Automation, ICRA 2008
CountryUnited States
CityPasadena, CA
Period5/19/085/23/08

Fingerprint

Wireless sensor networks
Multipath fading
Robotics
Hardware

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Cite this

Cabrera, F., & Xiao, J. (2008). Preprocessing technique to signal strength data of wireless sensor network for real-time distance estimation. In 2008 IEEE International Conference on Robotics and Automation, ICRA 2008 (pp. 1537-1542). [4543420] https://doi.org/10.1109/ROBOT.2008.4543420
Cabrera, Flavio ; Xiao, Jizhong. / Preprocessing technique to signal strength data of wireless sensor network for real-time distance estimation. 2008 IEEE International Conference on Robotics and Automation, ICRA 2008. 2008. pp. 1537-1542
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Cabrera, F & Xiao, J 2008, Preprocessing technique to signal strength data of wireless sensor network for real-time distance estimation. in 2008 IEEE International Conference on Robotics and Automation, ICRA 2008., 4543420, pp. 1537-1542, 2008 IEEE International Conference on Robotics and Automation, ICRA 2008, Pasadena, CA, United States, 5/19/08. https://doi.org/10.1109/ROBOT.2008.4543420

Preprocessing technique to signal strength data of wireless sensor network for real-time distance estimation. / Cabrera, Flavio; Xiao, Jizhong.

2008 IEEE International Conference on Robotics and Automation, ICRA 2008. 2008. p. 1537-1542 4543420.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Cabrera F, Xiao J. Preprocessing technique to signal strength data of wireless sensor network for real-time distance estimation. In 2008 IEEE International Conference on Robotics and Automation, ICRA 2008. 2008. p. 1537-1542. 4543420 https://doi.org/10.1109/ROBOT.2008.4543420