Abstract
This paper presents a cooperative framework for dynamic spectrum access in cognitive radio networks, where the cognitive radio devices may use the currently unutilized spectrum dynamically and opportunistically. The proposed solution works on the principle of multiagent system that allows the cooperation amongst several participating devices. The key aspect of our design is the deployment of agents on each of the primary and cognitive radio device that cooperates in order to have a better and dynamic use of the spectrum. For cooperation, contract net protocol is considered allowing spectrum to be dynamically allocated by having a series of exchange of messages. Due to the concurrent, distributed and autonomous nature of our approach, Petri nets are adopted to model the behavior of cooperative framework. Based on Petri nets, we study the internal message passing and spectrum allocation mechanism between the participating primary and cognitive radio users and identify the information needed by the agents to make cooperative decisions. Then, using empirical results, we show that our approach achieves up to 80% of the whole utility within the span of few messages, and provides an effective mechanism for distributed spectrum allocation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aydin, A., Altug, I.: Decentralized structural controller design for large scale discrete event systems modeled by Petri nets. Kybernetika, 3–14 (2009) ISSN 0023-5954
FCC. Spectrum policy task force report, ET Docket No. 02-135 (2002)
Hosseinabadi, G., Manshaei, H., Hubaux, J.-P.: Spectrum sharing games of infrastructure-based cognitive radio networks, Technical report, France (2008)
Hsieh, F.-S.: Developing cooperation mechanism for multi-agent systems with Petri nets. Engineering Applications of AI Journal 22, 616–627 (2009)
Jiang, X., Ivan, H., Anita, R.: Cognitive radio resource management using multi-agent systems. In: Consumer Communications and Networking Conference (CCNC 2007), pp. 1123–1127 (2007)
Kloeck, C., Jaekel, H., Jondra, F.: Multi-agent radio resource allocation. In: ACM Mobile Networks and Applications (MONET 2006), pp. 813–824 (2006)
Mir, U., Merghem-Boulahia, L., Gaïti, D.: Utilization of a cooperative multiagent system in the context of cognitive radio networks. In: International Week on Management of Networks and Services (MANWEEK 2009), pp. 100–104 (2009)
Mitola, J.: Cognitive radio: an integrated agent architecture for software defined radio, Ph.D Thesis, KTH Royal Institute of Technology, Sweden (2000)
Niyato, D., Hossain, E.: Competitive pricing for spectrum sharing in cognitive radio networks: dynamic game, inefficiency of Nash equilibrium, and collusion. IEEE Journal on Selected Areas in Communications 26, 192–202 (2008)
Panait, L., Luke, S.: Cooperative multi-agent systems learning: state of the art. In: Autonomous Agents and MultiAgent Systems (AAMAS 2005), pp. 387–434 (2005)
Weiss, G.: A modern approach to distributed artificial intelligence. MIT Press, USA (1999/2000)
Wellens, M., Riihijärvi, J., Mähönen, P.: Modelling primary system activity in dynamic spectrum access networks by aggregated on/off-processes. In: IEEE Workshop on Networking Technologies for SDR Networks, SECON 2009 (2009)
Zhang, C., Lesser, V., Shenoy, P.A.: Multi-agent learning approach to online distributed resource allocation. In: International Joint Conference on Artificial Intelligence (IJCAI 2009), pp. 361–366 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mir, U., Merghem-Boulahia, L., Gaïti, D. (2010). Multiagent Based Spectrum Sharing Using Petri Nets. In: Demazeau, Y., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12433-4_63
Download citation
DOI: https://doi.org/10.1007/978-3-642-12433-4_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12432-7
Online ISBN: 978-3-642-12433-4
eBook Packages: EngineeringEngineering (R0)