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 language | English |
|---|---|
| Title of host publication | IEEE Wireless Communications and Networking Conference, WCNC |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2096-2101 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479930838 |
| DOIs | |
| Publication status | Published - 2014 Nov 10 |
| Event | 2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 - Istanbul, Turkey Duration: 2014 Apr 6 → 2014 Apr 9 |
Publication series
| Name | IEEE Wireless Communications and Networking Conference, WCNC |
|---|---|
| ISSN (Print) | 1525-3511 |
Other
| Other | 2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 |
|---|---|
| Country | Turkey |
| City | Istanbul |
| Period | 14/4/6 → 14/4/9 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
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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 proceeding › Conference contribution
TY - GEN
T1 - Sensor placement algorithm for radio environment map construction in cognitive radio networks
AU - Yilmaz, H. Birkan
AU - Chae, Chan-Byoung
AU - Tugcu, Tuna
PY - 2014/11/10
Y1 - 2014/11/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84912077328&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84912077328&partnerID=8YFLogxK
U2 - 10.1109/WCNC.2014.6952633
DO - 10.1109/WCNC.2014.6952633
M3 - Conference contribution
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 2096
EP - 2101
BT - IEEE Wireless Communications and Networking Conference, WCNC
PB - Institute of Electrical and Electronics Engineers Inc.
ER -