Metrics for short-term radio signal disturbances detection in wireless sensor networks

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

2 Citations (Scopus)

Abstract

Passive radio transmission interferences such as moving or stationary objects may cause temporal signal fading in the radio propagation environments of wireless sensor networks (WSN) and lead to link quality degradation. The short-term signal disturbances cause a major concern especially in industrial environments with continually incoming and outgoing trucks, moving around forklifts and workers, as well as large concrete and metal surfaces. We have studied the effects of certain environmental disturbances on the quality of the transmitted signals and applied different metrics to characterize the signal degradation. The objective was to find out if the received radio signal characteristics in the form of Received Signal Strength Indicator (RSSI), Bit-Error-Rate (BER) and Probability Density Function (PDF) of the received signal magnitude could be used to detect passive radio disturbances, and how these measurement results can be utilized to overcome the transmission problems. The results of our study show that RSSI and BER metrics can be used to detect and PDF values to further characterise the passive radio interferences disturbing radio transmission.
Original languageEnglish
Title of host publicationUltra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014 6th International Congress on
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages318-325
ISBN (Electronic)978-1-4799-5291-5
DOIs
Publication statusPublished - 8 Jan 2015
MoE publication typeA4 Article in a conference publication
Event6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops - St. Petersburg, Russian Federation
Duration: 6 Oct 20148 Oct 2014
Conference number: 6

Publication series

Name
ISSN (Print)2157-0221
ISSN (Electronic)2157-023X

Conference

Conference6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops
Abbreviated titleICUMT
CountryRussian Federation
CitySt. Petersburg
Period6/10/148/10/14

Fingerprint

Radio transmission
Wireless sensor networks
Bit error rate
Probability density function
Degradation
Fading (radio)
Radio interference
Trucks
Concretes
Metals

Keywords

  • radio disturbances
  • wireless tranmission
  • RSSI
  • motion detection

Cite this

Eskola, M., Heikkilä, T., & Korkalainen, M. (2015). Metrics for short-term radio signal disturbances detection in wireless sensor networks. In Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014 6th International Congress on (pp. 318-325). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/ICUMT.2014.7002121
Eskola, Marina ; Heikkilä, Tapio ; Korkalainen, Marko. / Metrics for short-term radio signal disturbances detection in wireless sensor networks. Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014 6th International Congress on. Institute of Electrical and Electronic Engineers IEEE, 2015. pp. 318-325
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Eskola, M, Heikkilä, T & Korkalainen, M 2015, Metrics for short-term radio signal disturbances detection in wireless sensor networks. in Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014 6th International Congress on. Institute of Electrical and Electronic Engineers IEEE, pp. 318-325, 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, St. Petersburg, Russian Federation, 6/10/14. https://doi.org/10.1109/ICUMT.2014.7002121

Metrics for short-term radio signal disturbances detection in wireless sensor networks. / Eskola, Marina; Heikkilä, Tapio; Korkalainen, Marko.

Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014 6th International Congress on. Institute of Electrical and Electronic Engineers IEEE, 2015. p. 318-325.

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

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AU - Heikkilä, Tapio

AU - Korkalainen, Marko

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N2 - Passive radio transmission interferences such as moving or stationary objects may cause temporal signal fading in the radio propagation environments of wireless sensor networks (WSN) and lead to link quality degradation. The short-term signal disturbances cause a major concern especially in industrial environments with continually incoming and outgoing trucks, moving around forklifts and workers, as well as large concrete and metal surfaces. We have studied the effects of certain environmental disturbances on the quality of the transmitted signals and applied different metrics to characterize the signal degradation. The objective was to find out if the received radio signal characteristics in the form of Received Signal Strength Indicator (RSSI), Bit-Error-Rate (BER) and Probability Density Function (PDF) of the received signal magnitude could be used to detect passive radio disturbances, and how these measurement results can be utilized to overcome the transmission problems. The results of our study show that RSSI and BER metrics can be used to detect and PDF values to further characterise the passive radio interferences disturbing radio transmission.

AB - Passive radio transmission interferences such as moving or stationary objects may cause temporal signal fading in the radio propagation environments of wireless sensor networks (WSN) and lead to link quality degradation. The short-term signal disturbances cause a major concern especially in industrial environments with continually incoming and outgoing trucks, moving around forklifts and workers, as well as large concrete and metal surfaces. We have studied the effects of certain environmental disturbances on the quality of the transmitted signals and applied different metrics to characterize the signal degradation. The objective was to find out if the received radio signal characteristics in the form of Received Signal Strength Indicator (RSSI), Bit-Error-Rate (BER) and Probability Density Function (PDF) of the received signal magnitude could be used to detect passive radio disturbances, and how these measurement results can be utilized to overcome the transmission problems. The results of our study show that RSSI and BER metrics can be used to detect and PDF values to further characterise the passive radio interferences disturbing radio transmission.

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Eskola M, Heikkilä T, Korkalainen M. Metrics for short-term radio signal disturbances detection in wireless sensor networks. In Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014 6th International Congress on. Institute of Electrical and Electronic Engineers IEEE. 2015. p. 318-325 https://doi.org/10.1109/ICUMT.2014.7002121