Abstract
Cognitive radio (CR) is a new wireless communication concept of the future networks, that can help to use all available radio resources at a local area with a great effectiveness. Cognitive radio is based on the dynamic spectrum access (DSA) where available spectrum segments are used in an intelligent manner with help of advanced spectrum analysis and probing for unoccupied radio frequencies. An implementation of the cognitive radio networks raises an issue of the medium access control (MAC) protocol researching, in particular MAC protocol impacts on the access delay to radio channels. In this paper uncoordinated access method is studied where the event of spectrum and channel accessing is random and determined by probabilistic value from 0.1 to 0.99 named as channel availability. The subject of research was impact of channel availability on the access delay with simulation on the base ns2 program simulator with CRNC patch.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rao, K.R., Bojkovic, B.M.: Wireless Multimedia Communication Systems. Design Analysis and Implementation. CRS Press, Florida (2014)
Oiu, R.C., Hu, Z., Li, H., Wicks, M.C.: Cognitive Radio Communications and Networking. Principle and Practice. Wiley, United Kingdom (2012)
Zhang, Y., Zheng, J.: Cognitive Radio Networks: Architectures. Protocols and Standards. CRC Press, Florida (2014)
Filin, S., Harada, H., Murakami, H., Ishizu, K.: International standardization of cognitive radio systems. IEEE Commun. Mag. 49(3), 82–89 (2011)
Haykin, S.: Cognitive dynamic systems: radar, control, and radio. Proc. IEEE 100(7), 2095–2103 (2012)
Report ITU-R SM.2256: Spectrum Occupancy Measurement and Evaluation. SM Series. Spectrum Management. ITU Electronic Publication, Geneva (2012)
De Dominico, A., Calvanese, S.E.: A survey on MAC strategies for cognitive radio networks. IEEE Commun. Surv. Tutor. 14(1), 21–44 (2012)
Shahid, K.U., Maqsood, T.: CRN survey and a simple sequential MAC protocols for CRN learning. In: 2th International Conference on Advances in Cognitive Radio, pp. 22–27. International Academy, Research and Industry Association, Wilmington (2012)
Lee, P., Wey, G.: NS2 model for cognitive radio networks routing. In: Proceedings of the 1st International Symposium on Symposium on Computer Network and Multimedia Technology, CNMT 2009, pp. 1–4. IEEE Inc., New Jersey (2009)
Bhrugubanda, M.: A survey on simulators for cognitive radio network. IJCSIT 5(3), 4760–4761 (2014)
Perkins C.E., Royer E.M.: Ad-hoc on-demand distance vector routing. In: Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications, WMCSA 1999, pp. 90–100. IEEE Computer Society Washington, DC (1999)
Perkins, C.E., Belding-Royer, E.M., Das, S.R.: Ad hoc on-demand distance vector (AODV) routing. IETF Draft, draft-ietf-manet-aodv-13.txt (2003)
Ugale, M.R., Deshmukh, R.P., Thakare, A.N.: Analysis of routing protocol for cognitive adhoc networks. IJECCE 3(2), 314–319 (2012)
Gao, H., Zeng, W.: Analysis on cognitive wireless network MAC protocol access mode based on NS2. JATIT 47(3), 1092–1099 (2012)
Moses, G.J., Kumar, D.S., Varma, P.S., Supriya, N.: Simulation based performance comparison of reactive routing protocols in mobile adhoc network using NS-2. In: Kacprzyk, J. (ed.) Proceedings of the First International Conference on Advances in Computing. AISC, vol. 174, pp. 423–428. Springer, New Delhi (2012)
Salim, S., Moh, S.: On-demand routing protocols for cognitive ad hoc networks. EURASIP J. Wirel. Commun. Network. SpringerOpen J. 102, 1–10 (2013)
Kaniezhil, R., Chandrasekar, C.: Evaluating the probability of channel availability for spectrum sharing using cognitive radio. IJERA 2(4), 2186–2197 (2012)
Canberk, B., Oktug, S.: A channel availability classification for cognitive radio networks using a monitoring network. In: Proceedings of 17th IEEE ISCC2012 Symposium on Computers and Communications, pp. 690–695. IEEE Computer Society, Washington, DC (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Grebeshkov, A.Y., Zuev, A.V., Kiporov, D.S. (2016). Computer Simulation of Average Channel Access Delay in Cognitive Radio Network. In: Vishnevskiy, V., Samouylov, K., Kozyrev, D. (eds) Distributed Computer and Communication Networks. DCCN 2016. Communications in Computer and Information Science, vol 678. Springer, Cham. https://doi.org/10.1007/978-3-319-51917-3_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-51917-3_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-51916-6
Online ISBN: 978-3-319-51917-3
eBook Packages: Computer ScienceComputer Science (R0)