Sensor placement algorithm for radio environment map construction in cognitive radio networks

H. Birkan Yilmaz, Chan Byoung Chae, Tuna Tugcu

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

5 Citations (Scopus)

Abstract

In cognitive radio, current trend is to utilize geolocation database for TV bands. Considering more dynamic bands in terms of primary user activity, however, necessitates the use of Radio Environment Map (REM), which is an advanced knowledge base that stores live multidomain information on the entities in the network and the environment. In Cognitive Radio Networks (CRNs), mobile nodes that are capable of measuring the energy of the frequency bands are less capable compared to dedicated sensing nodes in the network. Therefore, deployment algorithm of the dedicated sensor nodes is of great importance and affects the constructed REM interference map quality. We propose a novel deployment algorithm for CRNs that considers user distribution probabilities. Numerical results confirm that the proposed deployment algorithm significantly improves the REM performance. The proposed algorithm is compared with random deployments and it is applied on Kriging and LIvE REM construction techniques.

Original languageEnglish
Title of host publicationIEEE Wireless Communications and Networking Conference, WCNC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2096-2101
Number of pages6
ISBN (Electronic)9781479930838
DOIs
Publication statusPublished - 2014 Nov 10
Event2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 - Istanbul, Turkey
Duration: 2014 Apr 62014 Apr 9

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Other

Other2014 IEEE Wireless Communications and Networking Conference, WCNC 2014
CountryTurkey
CityIstanbul
Period14/4/614/4/9

Fingerprint

Cognitive radio
Sensors
Sensor nodes
Probability distributions
Frequency bands
Wireless networks

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Yilmaz, H. B., Chae, C. B., & Tugcu, T. (2014). Sensor placement algorithm for radio environment map construction in cognitive radio networks. In IEEE Wireless Communications and Networking Conference, WCNC (pp. 2096-2101). [6952633] (IEEE Wireless Communications and Networking Conference, WCNC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2014.6952633
Yilmaz, H. Birkan ; Chae, Chan Byoung ; Tugcu, Tuna. / Sensor placement algorithm for radio environment map construction in cognitive radio networks. IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 2096-2101 (IEEE Wireless Communications and Networking Conference, WCNC).
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Yilmaz, HB, Chae, CB & Tugcu, T 2014, Sensor placement algorithm for radio environment map construction in cognitive radio networks. in IEEE Wireless Communications and Networking Conference, WCNC., 6952633, IEEE Wireless Communications and Networking Conference, WCNC, Institute of Electrical and Electronics Engineers Inc., pp. 2096-2101, 2014 IEEE Wireless Communications and Networking Conference, WCNC 2014, Istanbul, Turkey, 14/4/6. https://doi.org/10.1109/WCNC.2014.6952633

Sensor placement algorithm for radio environment map construction in cognitive radio networks. / Yilmaz, H. Birkan; Chae, Chan Byoung; Tugcu, Tuna.

IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2096-2101 6952633 (IEEE Wireless Communications and Networking Conference, WCNC).

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

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Yilmaz HB, Chae CB, Tugcu T. Sensor placement algorithm for radio environment map construction in cognitive radio networks. In IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc. 2014. p. 2096-2101. 6952633. (IEEE Wireless Communications and Networking Conference, WCNC). https://doi.org/10.1109/WCNC.2014.6952633