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Machine Learning based Frame Size Optimization in WLAN Downlink MU-MIMO Channel with the Least Cost of Delay

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 #IJCNC #Network #Delay #downlinkMUMIMO #framesizeoptimization #WLAN #heterogeneoustraffic #machinelearning #neuralnetwork #throughputoptimization #Ireland #China Machine Learning based Frame Size Optimization in WLAN Downlink MU-MIMO Channel with the Least Cost of Delay Authors Lemlem Kassa1, Jianhua Deng1, Mark Davis2 and Jingye Cai1, 1University of Electronic Science and Technology China (UESTC), China, 2Communication Network Research Institute (CNRI), Technological University Dublin, Ireland Abstract The key enhancement in the medium access control (MAC) layer is frame aggregation introduced by the IEEE 802.11n/ac standard to accommodate the growing traffic demand in the WLAN by allowing multiple packets aggregated per transmission. Frame aggregation efficiently reduces control overhead in the MAC layer, such as the MAC header and thus it helps to enhance transmission efficiency and throughput performance of WLAN. However, heterogeneous traffic demand among streams in the WLAN ...
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Current Issue - November 2022, Volume 14, Number 6 - The International Journal of Computer Networks & Communications (IJCNC)

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 November 2022, Volume 14, Number 6 https://airccse.org/journal/ijc2022.html =============================== Machine Learning based Frame Size Optimization in WLAN Downlink MU-MIMO Channel with the Least Cost of Delay Lemlem Kassa1, Jianhua Deng1, Mark Davis2 and Jingye Cai1, 1University of Electronic Science and Technology China (UESTC) China, 2Communication Network Research Institute (CNRI), Technological University Dublin, Ireland https://aircconline.com/ijcnc/V14N6/14622cnc01.pdf Improvements for Uplink Long Term Evolution (UL-LTE) in Heterogeneous Network using Dynamic Spectrum Allocation Technique Nurzati Iwani Othman1, Ahmad Fadzil Ismail1, Khairayu Badron1, Wahidah Hashim2 and Sofia Pinardi3, 1International Islamic University Malaysia, Malaysia, 2Universiti Tenaga Nasional, Kajang, Malaysia, 3Universitas Muhammadiyah Prof. Dr. Hamka Indonesia https://aircconline.com/ijcnc/V14N6/14622cnc02.pdf WS-OLSR: Multipoint Relay Selection in VANET Networks using a Wingsuit Flying Sear...
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Weighted Coefficient Firefly Optimization Algorithm and Support Vector Machine for Trust Model and Link Reliability

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#IJCNC #Network #BayesianNetwork #QoS #SDN #SEPProtocol #RoutingProtocol #fuzzy #Telecommunications #networkarchitecture #networkprotocol #networkoptimization #DynamicAuthentication #StandardDeviationBasedEncoding #VariableEncoding #MultiSignatureHiding #RandomSignatureDispersing #RadioNetworks #SDN #algorithm #malfunctions #Sensing #Application #EntropyMeasure #Trustmodel #Cloudcomputing Weighted Coefficient Firefly Optimization Algorithm and Support Vector Machine for Trust Model and Link Reliability Authors Shalini Sharma and Syed Zeeshan Hussain, Jamia Millia Islamia University New Delhi, India Abstract Cloud computing is widely used by organizations and individuals due to its flexibility and reliability. The trust model is important for cloud computing to detect malicious users and protect user privacy. The existing research faces the issues of local optima trap and overfitting problems when a training user node is idle for more time. This research propose...
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Controller Placement Problem Resiliency Evaluation in SDN-based Architectures

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  #IJCNC #Network #BayesianNetwork #QoS #SDN #SEPProtocol #RoutingProtocol #fuzzy #Telecommunications #networkarchitecture #networkprotocol #networkoptimization #DynamicAuthentication #StandardDeviationBasedEncoding #VariableEncoding #MultiSignatureHiding #RandomSignatureDispersing #Italy #SDN #algorithm #malfunctions Controller Placement Problem Resiliency Evaluation in SDN-based Architectures Authors Maurizio D’Arienzo1, Manfredi Napolitano1 and Simon Pietro Romano2, 1Dipartimento di Scienze Politiche Universita della Campania ”L.Vanvitelli”, Italy, 2DIETI Universita di Napoli ”Federico II”, Italy Abstract The Software-Defined Networking (SDN) paradigm does represent an effective approach aimed at enhancing the performance of core networks by introducing a clean separation between the routing plane and the forwarding plane. However, the centralized architecture of SDN networks raises resiliency concerns that are addressed by a class of algorithms falling under...
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Multi-Layer Digital Validation of Candidate Service Appointment with Digital Signature and Bio-Metric Authentication Approach

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 #IJCNC #academia #Network #BayesianNetwork #QoS #SDN #SEPProtocol #RoutingProtocol #fuzzy #Telecommunications #networkarchitecture #networkprotocol #networkoptimization #DynamicAuthentication #StandardDeviationBasedEncoding #VariableEncoding #MultiSignatureHiding #RandomSignatureDispersing Multi-Layer Digital Validation of Candidate Service Appointment with Digital Signature and Bio-Metric Authentication Approach Authors Saikat Bose1, Tripti Arjariya1, Anirban Goswami2, Soumit Chowdhury3, 1Bhabha University, India, 2Techno Main Salt Lake, Sec – V, India, 3Government College of Engineering & Ceramic Technology, India Abstract Proposed work promotes a unique data security protocol for validating candidate’s service appointment. Process initiated with concealment of private share within the first segment of each region of the e-letter at commission’s server. This is governed by hash operations determining circular orientation of private share fragments and their hosted matrix int...
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Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation with Hybrid Beam Forming Power Transfer in WSN-IoT Applications

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 #IJCNC #network #BER #VANET #NOMA #optimization #deeplearning #MIMO Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation with Hybrid Beam Forming Power Transfer in WSN-IoT Applications Authors Reginald Jude Sixtus J and Tamilarasi Muthu, Puducherry Technological University, India Abstract Non-Orthogonal Multiple Access (NOMA) helps to overcome various difficulties in future technology wireless communications. NOMA, when utilized with millimeter wave multiple-input multiple-output (MIMO) systems, channel estimation becomes extremely difficult. For reaping the benefits of the NOMA and mm-Wave combination, effective channel estimation is required. In this paper, we propose an enhanced particle swarm optimization based long short-term memory estimator network (PSOLSTMEstNet), which is a neural network model that can be employed to forecast the bandwidth required in the mm-Wave MIMO network. The prime advantage of the LSTM is that it has the capability of dynamic...
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Controlling Adaptive Contention Window to Improve Safe Message Received Rate in VANET

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 #IJCNC #network #802.11p #VANET #Security #Vietnam #coordinationmechanism Controlling Adaptive Contention Window to Improve Safe Message Received Rate in VANET Authors Nguyen Hoang Chien1 and Pham Thanh Giang2, 1University of Economics – Technology for Industries, Vietnam, 2Vietnam Academy of Science and Technology, Vietnam Abstract The primary goal of Vehicular Ad Hoc Networks (VANETs) is to support the secure transmission of applications via vehicles. Broadcasting is an important form of communication in the VANET network. Since there is no recovery for broadcast frames in the VANET network, the rate of receiving safe messages can become very low, especially in dense network conditions. In this paper, we present a new broadcast coordination mechanism with the aim of adaptive control of CW size to improve the received rate of safety messages. Each vehicle in the VANET can identify current local conditions of the network such as collisions or congestion by analyzing recently succe...
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