Swarm intelligence based dynamic control channel assignment in CogMesh

Tao Chen, Honggang Zhagn, Marcos D. Katz, Zheng Zhou

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

46 Citations (Scopus)

Abstract

In this paper we address the control channel assignment problem in a cognitive radio based wireless network, namely the CogMesh. Such a network is featured by the dynamic spectrum sharing of the secondary users coexisting with the primary users. The opportunistic nature of the spectrum utilization among the secondary users makes a global control channel infeasible. The self-coordination of the network, hence, becomes a challenge task. Considering the fact that common channels may temporarily exist among a local group of secondary users, we propose an adaptive approach that selects local common control channels independently by each secondary user according to the qualities of the detected spectrum holes and the choices of its neighbors. To achieve this, a swarm intelligence-based algorithm is used to facilitate the common control channel selection. The idea is to use HELLO messages periodically broadcasted by neighbors as the pheromone to rank the common channels so as to expedite the channel selection process. The algorithm is completely distributed and therefore scalable. Moreover, it is simple, flexible, adaptive, and well balanced on the exploitation and exploration of the radio resources. The behaviors and performance of the proposed algorithm are verified by simulation. (16 refs.)
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationICC Workshops - IEEE International Conference on Communications Workshops, ICCW 2008
Place of PublicationPiscataway, NJ, USA
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages123-128
ISBN (Print)978-1-4244-2051-3, 978-1-4244-2052-0
DOIs
Publication statusPublished - 2008
MoE publication typeA4 Article in a conference publication
EventICC Workshops - 2008 IEEE International Conference on Communications Workshops, ICCW 2008 - Beijing, China
Duration: 19 May 200823 May 2008

Conference

ConferenceICC Workshops - 2008 IEEE International Conference on Communications Workshops, ICCW 2008
Abbreviated titleICCW 2008
CountryChina
CityBeijing
Period19/05/0823/05/08

Fingerprint

Cognitive radio
Wireless networks
Swarm intelligence

Cite this

Chen, T., Zhagn, H., Katz, M. D., & Zhou, Z. (2008). Swarm intelligence based dynamic control channel assignment in CogMesh. In Proceedings: ICC Workshops - IEEE International Conference on Communications Workshops, ICCW 2008 (pp. 123-128). Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ICCW.2008.28
Chen, Tao ; Zhagn, Honggang ; Katz, Marcos D. ; Zhou, Zheng. / Swarm intelligence based dynamic control channel assignment in CogMesh. Proceedings: ICC Workshops - IEEE International Conference on Communications Workshops, ICCW 2008. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2008. pp. 123-128
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title = "Swarm intelligence based dynamic control channel assignment in CogMesh",
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Chen, T, Zhagn, H, Katz, MD & Zhou, Z 2008, Swarm intelligence based dynamic control channel assignment in CogMesh. in Proceedings: ICC Workshops - IEEE International Conference on Communications Workshops, ICCW 2008. IEEE Institute of Electrical and Electronic Engineers , Piscataway, NJ, USA, pp. 123-128, ICC Workshops - 2008 IEEE International Conference on Communications Workshops, ICCW 2008, Beijing, China, 19/05/08. https://doi.org/10.1109/ICCW.2008.28

Swarm intelligence based dynamic control channel assignment in CogMesh. / Chen, Tao; Zhagn, Honggang; Katz, Marcos D.; Zhou, Zheng.

Proceedings: ICC Workshops - IEEE International Conference on Communications Workshops, ICCW 2008. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2008. p. 123-128.

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

TY - GEN

T1 - Swarm intelligence based dynamic control channel assignment in CogMesh

AU - Chen, Tao

AU - Zhagn, Honggang

AU - Katz, Marcos D.

AU - Zhou, Zheng

PY - 2008

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N2 - In this paper we address the control channel assignment problem in a cognitive radio based wireless network, namely the CogMesh. Such a network is featured by the dynamic spectrum sharing of the secondary users coexisting with the primary users. The opportunistic nature of the spectrum utilization among the secondary users makes a global control channel infeasible. The self-coordination of the network, hence, becomes a challenge task. Considering the fact that common channels may temporarily exist among a local group of secondary users, we propose an adaptive approach that selects local common control channels independently by each secondary user according to the qualities of the detected spectrum holes and the choices of its neighbors. To achieve this, a swarm intelligence-based algorithm is used to facilitate the common control channel selection. The idea is to use HELLO messages periodically broadcasted by neighbors as the pheromone to rank the common channels so as to expedite the channel selection process. The algorithm is completely distributed and therefore scalable. Moreover, it is simple, flexible, adaptive, and well balanced on the exploitation and exploration of the radio resources. The behaviors and performance of the proposed algorithm are verified by simulation. (16 refs.)

AB - In this paper we address the control channel assignment problem in a cognitive radio based wireless network, namely the CogMesh. Such a network is featured by the dynamic spectrum sharing of the secondary users coexisting with the primary users. The opportunistic nature of the spectrum utilization among the secondary users makes a global control channel infeasible. The self-coordination of the network, hence, becomes a challenge task. Considering the fact that common channels may temporarily exist among a local group of secondary users, we propose an adaptive approach that selects local common control channels independently by each secondary user according to the qualities of the detected spectrum holes and the choices of its neighbors. To achieve this, a swarm intelligence-based algorithm is used to facilitate the common control channel selection. The idea is to use HELLO messages periodically broadcasted by neighbors as the pheromone to rank the common channels so as to expedite the channel selection process. The algorithm is completely distributed and therefore scalable. Moreover, it is simple, flexible, adaptive, and well balanced on the exploitation and exploration of the radio resources. The behaviors and performance of the proposed algorithm are verified by simulation. (16 refs.)

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Chen T, Zhagn H, Katz MD, Zhou Z. Swarm intelligence based dynamic control channel assignment in CogMesh. In Proceedings: ICC Workshops - IEEE International Conference on Communications Workshops, ICCW 2008. Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . 2008. p. 123-128 https://doi.org/10.1109/ICCW.2008.28