Negotiating task decomposition and allocation using partial global planning
Distributed Artificial Intelligence (Vol. 2)
Performance Analysis of Stochastic Timed Petri Nets Using Linear Programming Approach
IEEE Transactions on Software Engineering
Dynamic spectrum access in cognitive radio networks
Dynamic spectrum access in cognitive radio networks
Multi-agent radio resource allocation
Mobile Networks and Applications
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
A Survey on MAC Protocols for Opportunistic Spectrum Access in Cognitive Radio Networks
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 01
Weighted-Clustering Cooperative Spectrum Sensing in Cognitive Radio Context
CMC '09 Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 01
Developing cooperation mechanism for multi-agent systems with Petri nets
Engineering Applications of Artificial Intelligence
Channel capacity maximization in cooperative cognitive radio networks using game theory
ACM SIGMOBILE Mobile Computing and Communications Review
Dynamic spectrum access in cognitive radio based tactical networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Congestion games with resource reuse and applications in spectrum sharing
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Multi-agent Q-learning of channel selection in multi-user cognitive radio systems: a two by two case
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A Cooperative Multiagent Based Spectrum Sharing
AICT '10 Proceedings of the 2010 Sixth Advanced International Conference on Telecommunications
Joint rate and power allocation for cognitive radios in dynamic spectrum access environment
IEEE Transactions on Wireless Communications - Part 2
Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks
IEEE Transactions on Wireless Communications
IEEE Journal on Selected Areas in Communications
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Static spectrum allocation is a major problem in recent wireless network domains. Generally, these allocations lead to inefficient usage creating empty spectrum holes or white spaces. Thus, some alternatives must be ensured in order to mitigate the current spectrum scarcity. An effective technology to ensure dynamic spectrum usage is cognitive radio, which seeks the unutilized spectrum portions opportunistically and shares them with the neighboring devices. However, since users generally have a limited knowledge about their environment, we claim that cooperative behavior can provide them with the necessary information to solve the global issues. Therefore, in this paper, we develop a novel approach for spectrum allocation using a multiagent system that enables cognitive radio devices to work cooperatively with their neighboring licensed (or primary user) devices in order to utilize the available spectrum dynamically. The fundamental aspect of our approach is the deployment of an agent on each device which cooperates with its neighboring agents in order to have a better spectrum sharing. Considering the concurrent, distributed, and autonomous nature of the proposed approach, Petri nets are adopted to model the cooperative behaviors of primary and cognitive radio users. Our simulation results show that the proposed solution achieves good performance in terms of spectrum access, sustaining lower communication overhead.