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A New Strategy for Dynamic Channel Allocation in CR-WMN Based on RCA

Computers, Materials & Continua 2023年第9期76卷 2631-2647页

作者： kaleem arshid Jianbiao Zhang Muhammad Yaqub Mohammad Daud Awan Habiba Ijaz Imran Shabir Chuhan Faculty of Information Technology Beijing University of TechnologyBeijing100124China Department of Computer Science Preston University KohatIslamabad CampusIslamabad44000Pakistan Department of Computer Science and Information Technology University of SargodhaPunjab40100Pakistan College of Applied Sciences Beijing University of TechnologyBeijing100124China

Channel assignment has emerged as an essential study subject in Cognitive Radio-basedWireless Mesh Networks(CR-WMN).In an era of alarming increase in Multi-Radio Multi-Channel(MRMC)network expansion interference is decreased and network throughput is significantly increased when non-overlapping or partially overlapping channels are correctly *** of its ad hoc behavior,dynamic channel assignment outperforms static channel *** reduces network throughput in the *** a result,there is an extensive research gap for an algorithm that dynamically distributes channels while accounting for all types of *** work presents a method for dynamic channel allocations using unsupervisedMachine Learning(ML)that considers both coordinated and uncoordinated *** machine learning uses coordinated and non-coordinated interference for dynamic channel *** determine the applicability of the proposed strategy in reducing channel interference while increasingWMNthroughput,a comparison analysis was *** the simulation results of our proposed algorithm are compared to those of the Routing Channel Assignment(RCA)algorithm,the throughput of our proposed algorithm has increased by 34%compared to both coordinated and non-coordinated interferences.

关键词： Carrier sensing interference coordination overlapping channels orthogonal channels

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Big Data of Home Energy Management in Cloud Computing

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Journal of Quantum Computing 2020年第4期2卷 193-202页

作者： Rizwan Munir Yifei Wei Rahim Ullah Iftikhar Hussain kaleem arshid Umair Tariq Beijing University of Posts and Telecommunications Beijing10086China Higher Education Department PeshawarKhyber Pakhtunkhwa25000Pakistan School of Computer and Information Technology Beaconhouse National UniversityLahore53700Pakistan Faculty of Information Technology Beijing University of TechnologyBeijing100124China

A smart grid is the evolved form of the power grid with the integration of sensing,communication,computing,monitoring,and control *** technologies make the power grid reliable,efficient,and ***,the smartness boosts the volume of data in the smart *** obligate full benefits,big data has attractive techniques to process and analyze smart grid *** paper presents and simulates a framework to make sure the use of big data computing technique in the smart *** offered framework comprises of the following four layers:(i)Data source layer,(ii)Data transmission layer,(iii)Data storage and computing layer,and(iv)Data analysis *** a proof of concept,the framework is simulated by taking the dataset of three cities of the Pakistan region and by considering two cloud-based data *** results are analyzed by taking into account the following parameters:(i)Heavy load data center,(ii)The impact of peak hour,(iii)High network delay,and(iv)The low network *** presented framework may help the power grid to achieve reliability,sustainability,and cost-efficiency for both the users and service providers.

关键词： Cloud computing virtual machine data centers internet of things big data in smart grid

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