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A Complete Spectrum Sensing and Sharing Model for Cognitive Radio Ad Hoc Wireless Networks Using Markov Chain State Machine

A Complete Spectrum Sensing and Sharing Model for Cognitive Radio Ad Hoc Wireless Networks Using Markov Chain State Machine

Amir Rajaee, Mahdy Saedy, Brian Kelley
Copyright: © 2011 |Volume: 3 |Issue: 3 |Pages: 14
ISSN: 1941-8663|EISSN: 1941-8671|EISBN13: 9781613508053|DOI: 10.4018/jitn.2011070102
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MLA

Rajaee, Amir, et al. "A Complete Spectrum Sensing and Sharing Model for Cognitive Radio Ad Hoc Wireless Networks Using Markov Chain State Machine." IJITN vol.3, no.3 2011: pp.15-28. http://doi.org/10.4018/jitn.2011070102

APA

Rajaee, A., Saedy, M., & Kelley, B. (2011). A Complete Spectrum Sensing and Sharing Model for Cognitive Radio Ad Hoc Wireless Networks Using Markov Chain State Machine. International Journal of Interdisciplinary Telecommunications and Networking (IJITN), 3(3), 15-28. http://doi.org/10.4018/jitn.2011070102

Chicago

Rajaee, Amir, Mahdy Saedy, and Brian Kelley. "A Complete Spectrum Sensing and Sharing Model for Cognitive Radio Ad Hoc Wireless Networks Using Markov Chain State Machine," International Journal of Interdisciplinary Telecommunications and Networking (IJITN) 3, no.3: 15-28. http://doi.org/10.4018/jitn.2011070102

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Abstract

an unlimited number of secondary users. It includes the sharing aspect of Cognitive Radio. Power-law distribution of node degree in scale-free networks is important for considering the traffic distribution and resource management thus we consider the effect of the topology on sensing and sharing performances. The authors demonstrate that CIF outperforms Uniform Indexing (UI) algorithm in Scale-Free networks while in Random networks UI performs as well as CIF.

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