Abstract
An autonomous network is a network that is able to self-manage and deliver a service based on the resources of its nodes, it follows the concept of autonomous computing, its goal is the creation of self-management networks to support the growing complexity of internet and allow the expansion of networks beyond their current sizes. In the field of networks, cognitive radio could be considered as an intelligent agent able to adapt to its operational context, it also offers a balanced solution to the problems of spectrum congestion. The concept of cognitive radio is based on the dynamic use of any available and detectable frequency band of the radio spectrum for communications between networks of two categories, namely primaries, which have controlled and prioritized access to spectrum and the secondary ones say cognitive. In this paper, we are interested in the dynamic and intelligent management of radio resources as part of a cognitive radio network using mechanisms based on autonomous learning techniques. We have proposed a new approach for the efficient management and sharing of radio spectrum.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Haykin, S.: Cognitive radio: brain empowered wireless communications. IEEE J. Sel. Areas Commun. 23(2), 1–9 February 2005
Mitola, J., Maguire, G.Q.: Cognitive radio: making software radios more personal. IEEE Pers. Commun. 6(4), 13–18 (1999)
Kasbekar, G.S., Sarkar, S.: Spectrum auction framework for access allocation in cognitive radio networks. IEEE/ACM Trans. Networking (TON) 18(6), 1841–1854 (2010)
Benmammar, B., Amraoui, A., Krief, F.: A survey on dynamic spectrum access techniques in cognitive radio networks. Int. J. Commun. Netw. Inf. Secur. 5(2), 68 (2013)
Akyildiz, I.F., et al.: NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Comput. Netw. 50(13), 2127–2159 (2006)
Benmammar, B., Benmouna, Y., Amraoui, A., et al.: A parallel implementation on a multi-core architecture of a dynamic programming algorithm applied in cognitive radio ad hoc networks. Int. J. Commun. Netw. Inf. Secur. 9(2), 196 (2017)
Strassner, J., De Souza, J.N., van der Meer, S., et al.: The design of a new policy model to support ontology-driven reasoning for autonomic networking. J. Netw. Syst. Manag. 17(1–2), 5–32 (2009)
Bargaoui, H., et al.: Hybrid QoS based routing protocol for inter and intra wireless mesh infrastructure communications. Wirel. Netw. 22(7), 2111–2130 (2016)
Zubow, A., Döring, M., Wolisz, A.: Distributed spectrum allocation for autonomous cognitive radio networks. In: Proceedings of 20th European Wireless Conference European Wireless 2014, VDE, pp. 1–7 (2014)
Raiss El-Fenni, M., El-Azouzi, R., El-Kamili, M., et al.: Dynamic spectrum allocation based on cognitive radio for QoS support. In: Proceedings of the 13th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems. ACM, pp. 351–354 (2010)
Baba-Ahmed, M.Z., Benmammar, B., Bendimerad, F.T.: Spectrum allocation for autonomous cognitive radio networks. Int. J. Adv. Comput. Technol. 7(2), 48 (2015)
Mihailovic, A., Nguengang, G., Kousaridas, A.: An Approach for Designing Cognitive Self-Managed Future Internet, the European Commission Seventh Framework Program ICT-2008–224344 through the Self-NET Project (2010). https://www.ict-selfnet.eu
JAVA Agent Development Framework. Open source platform for peer-to-peer agent based applications. http://jade.tilab.com/
Foundation for Intelligent Physical Agents. Specifications (1997). http://www.fipa.org
Szigeti, T., Hattingh, C.: End-to-End QoS Network Design: Quality of Service in LANs, WANs, and VPNs. Published Nov 9, 2004 by Cisco Press. Part of the Networking Technology series
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Baba-Ahmed, M.Z., Tahraoui, S., Sedjelmaci, A., Bouregaa, M., Rabah, M.A. (2020). Self-management of Autonomous Agents Dedicated to Cognitive Radio Networks. In: Hatti, M. (eds) Smart Energy Empowerment in Smart and Resilient Cities. ICAIRES 2019. Lecture Notes in Networks and Systems, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-030-37207-1_39
Download citation
DOI: https://doi.org/10.1007/978-3-030-37207-1_39
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37206-4
Online ISBN: 978-3-030-37207-1
eBook Packages: EngineeringEngineering (R0)