On Using Multi Agent Systems in Cognitive Radio Networks: A Survey

Trigui, Emna; Esseghir, Moez; Merghem, Leïla

doi:10.5121/ijwmn.2012.4601

Cited by 7 publications

(3 citation statements)

References 54 publications

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“…The idea of Distributed Artificial Intelligence (DAI) is to move from individual to collective behavior in order to address the limitations of traditional artificial intelligence when solving complex problems requiring the distribution of intelligence over several entities. The DAI includes three basic research areas which are: distributed problem solving, parallel artificial intelligence and multi-agent systems [52]. We can find several definitions concerning the agent which are different only in the type of application for which the agent is designed.…”

Section: Spectrum Access Using Multi Agent Systemsmentioning

confidence: 99%

A Survey on Dynamic Spectrum Access Techniques in Cognitive Radio Networks

Benmammar¹,

Amraoui²,

Krief

2022

Int. j. commun. netw. inf. secur.

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The idea of Cognitive Radio (CR) is to share the spectrum between a user called primary, and a user called secondary. Dynamic Spectrum Access (DSA) is a new spectrum sharing paradigm in cognitive radio that allows secondary users to access the abundant spectrum holes in the licensed spectrum bands. DSA is an auspicious technology to alleviate the spectrum scarcity problem and increase spectrum utilization. While DSA has attracted many research efforts recently, in this paper, a survey of spectrum access techniques using cooperation and competition to solve the problem of spectrum allocation in cognitive radio networks is presented.

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Section: Spectrum Access Using Multi Agent Systemsmentioning

confidence: 99%

A Survey on Dynamic Spectrum Access Techniques in Cognitive Radio Networks

Benmammar¹,

Amraoui²,

Krief

2022

Int. j. commun. netw. inf. secur.

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“…The researchers in [9] have used game theory to solve the puzzle of resource allocation on cognitive radio networks to which they extend their solution to multi agent cognitive radio networks. In [10] they compared single agent based and multi agent based cognitive radio networks and their advantages and disadvantages on the secondary user autonomy on exploiting the available bandwidth.…”

Section: Related Workmentioning

confidence: 99%

Bandwidth Utilization Optimization on Agent Based CR Networks

2016

IJSR

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Cognitive radio (CR) increases spectrum efficiency by allowing secondary users (SUs) to dynamically use the idle spectrum owned by primary users (PUs). This paper studies bandwidth allocation of SUs for throughput efficiency. Taking on consideration a scenario of five nodes on which two of them are Primary Users(PUs) and the other three are secondary users (SUs).What amount of bandwidth should be leased to the secondary users? In this paper, we study the optimal bandwidth allocation for multiple SUs. Our approach addresses the transmission parameters both in Primary Users (PUs) and Secondary Users (SUs). We first analyze the amount of bandwidth used by the Primary Users (Pus) and design an algorithm that will distribute the remaining bandwidth and allocate the optimal bandwidth an SU should use to maximize the per-SU throughput in the long term. We adjust the Secondary users TCP parameters so as it should not use more than the allocated Bandwidth to improve SUs' performance and also propose the algorithm for bandwidth sharing among the Pus and SUs more efficient while taking on account for the dynamics of the SUs on the idle bandwidth exploitation. We use the NS2 cognitive radio simulations to validate our results. The work contribute and steer the initiatives of the researches on finding the adequate bandwidth sharing algorithm in cognitive radio networks.

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“…Machine learning, which can be regarded as a technique for the machines to learn from the collected data to optimize their own decision making [ 5 ], provides a feasible new way to cope with intelligent malicious jamming [ 6 , 7 ]. What is more, reinforcement learning, a vital branch of machine learning, is capable of ensuring anti-jamming communications based on joint actions executed by the WSN and the feedback from the external environment, without the need for jamming modeling [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

A Distributed Anti-Jamming Algorithm Based on Actor–Critic Countering Intelligent Malicious Jamming for WSN

Chen

Niu

Chen

et al. 2022

Sensors

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In this paper, in order to solve the problem of wireless sensor networks’ reliable transmission in intelligent malicious jamming, we propose a Distributed Anti-Jamming Algorithm (DAJA) based on an actor–critic algorithm for a multi-agent system. The Multi-Agent Markov Decision Process (MAMPD) is introduced to model the progress of wireless sensor networks’ anti-jamming communication, and the multi-agent system learns the intelligent jamming from the external environment by using an actor–critic algorithm. On the basis of coping with the influence of external and internal factors effectively, each sensor in networks selects the appropriate channels for transmission and finally realizes the optimal transmission of the system overall in a unit time period. In the environment of probabilistic intelligent jamming with tracking properties set in this paper, the simulation shows that the algorithm proposed can outperform the algorithm based on joint Q-learning and the conventional scheme based on orthogonal frequency hopping in terms of transmission. In addition, the proposed algorithm completes two updates of strategy evaluation and action selection in one iteration, which means that the system has higher efficiency of action selection and better adaptability to the environment through the interaction with the external environment, resulting in the better performance of transmission and convergence.

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On Using Multi Agent Systems in Cognitive Radio Networks: A Survey

Cited by 7 publications

References 54 publications

A Survey on Dynamic Spectrum Access Techniques in Cognitive Radio Networks

A Survey on Dynamic Spectrum Access Techniques in Cognitive Radio Networks

Bandwidth Utilization Optimization on Agent Based CR Networks

A Distributed Anti-Jamming Algorithm Based on Actor–Critic Countering Intelligent Malicious Jamming for WSN

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