2017 IEEE Symposium on Computers and Communications (ISCC) 2017
DOI: 10.1109/iscc.2017.8024618
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A distributed Cooperative Spectrum Resource Allocation in smart home cognitive wireless sensor networks

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Cited by 11 publications
(3 citation statements)
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“…Fairness metrics become especially important in dynamic and heterogeneous wireless environments where users have varying channel conditions, QoS requirements, and traffic patterns. Adaptive resource allocation algorithms are often used to address these challenges [ 25 , 26 ].…”
Section: The Basics Of Crsnsmentioning
confidence: 99%
“…Fairness metrics become especially important in dynamic and heterogeneous wireless environments where users have varying channel conditions, QoS requirements, and traffic patterns. Adaptive resource allocation algorithms are often used to address these challenges [ 25 , 26 ].…”
Section: The Basics Of Crsnsmentioning
confidence: 99%
“…The authors in [331] critically discussed state-of-the-art and open research challenges in optimal planning and management of resources in SHs. Different approaches, such as agent-mediated service management (AMSM) [315], Pareto resource allocation [316], MILP-based lexicographic minimax method (LMM) [317], combined Gauss-Seidel decomposition and competitive game formulation-based decentralized optimization [318], IOT-based protocol [319], cooperative spectrum resource allocation (CSRA) framework [332], ant colony optimization (ACO) algorithms [320], virtual object composition (VOC) [321], and support vector machine (SVM) [322] models have been reported in the literature for optimal allocation of different types of resources, including cost distribution, task allocation, RES allocation, bandwidth allocation, and DR management in SHs.…”
Section: Resource Allocationmentioning
confidence: 99%
“…Aroua [68] proposes a new framework for household energy control in smart homes using Cognitive Radio Sensor Networks (CRSN).…”
Section: Analysis Strategy 3: Sgs and Their Application To Har And Adlmentioning
confidence: 99%