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Sensor network based device free trespasser detection and localisation

conference contribution
posted on 2024-10-31, 18:23 authored by Prasad Sampath, Kodikara Arachchige Piyanga Ruwini Kodikara EdirisingheKodikara Arachchige Piyanga Ruwini Kodikara Edirisinghe, Dileeka Dias
Device free detection and localization is a promising and a very practical research area where installation of expensive sensors and/or tagging the intruder is not feasible. This paper reports a mesh network developed for device free trespasser detection. We use the Received Signal Strength Indicator (RSSI) measurements of the wireless links within the mesh as the sole sensing mechanism. A fingerprint of RSSI measurements characterizes the environment under normal conditions including multi-path effects. A technique to differentiate RSSI variations due to trespassers from those due to multi-path effects is demonstrated. The results of the experiments conducted in an outdoor environment have verified that the proposed method can be used to detect trespassers successfully. The reliability of the detection is improved by cross-correlating RSSI variations among the multiple links in the mesh. The ability to extend the system for localization is also investigated.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1109/ICIAFS.2014.7069570
  2. 2.
    ISBN - Is published in 9781479945986 (urn:isbn:9781479945986)

Start page

1

End page

6

Total pages

6

Outlet

Proceedings of the 7th International Conference on Information and Automation for Sustainability (ICIAfS 2014)

Editors

A.M. Harsha S. Abeykoon

Name of conference

ICIAfS 2014

Publisher

IEEE

Place published

United States

Start date

2014-12-22

End date

2014-12-24

Language

English

Copyright

© 2014 IEEE

Former Identifier

2006052434

Esploro creation date

2020-06-22

Fedora creation date

2015-04-20

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