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Television shows ideation, and testing with smart digital twins to advance ratings
Generating ideas for immersive television shows is fundamental to the television industry. TV channel managers are looking to stay ahead of their...
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A robust ECC based authentication protocol for satellite-to-satellite communication network
Harnessing satellite resources to designate a communication network has felicitous the flexibility to bounteous applications, including broadcasting,...
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Distributed neuro-fuzzy routing for energy-efficient IoT smart city applications in WSN
Wireless sensor networks (WSNs) enable seamless data gathering and communication, facilitating efficient and real-time decision-making in IoT...
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An enhanced energy and distance based optimized clustering and dynamic adaptive cluster-based routing in software defined vehicular network
Software-Defined Vehicular Networks (SDVN) have been established to facilitate secure and adaptable vehicle communication within the dynamic...
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A novel PLS technique for secure ESM based MIMO systems
Multiple-input multiple-output systems with spatial modulation has evolved into an energy efficient and less complex wireless transmission system due...
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The impact of supply chain digitalization on supply chain performance: a moderated mediation model
Despite extensive attention that researchers and practitioners have paid to supply chain digitalization, our understanding of how to leverage supply...
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DOCA: a UAV-assisted multi-hop D2D resource allocation scheme for 5G and beyond using machine learning
Device-to-Device (D2D) relayed communication helps in extending the coverage range of cellular networks. Relay devices support multi-hop D2D...
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An anonymous broadcasting system with accountability based on group signatures
Advanced anonymous communication schemes have been proposed to protect the privacy of network users, enabling them to communicate anonymously on the...
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Statistical analysis and characterization of signaling and user traffic of a commercial multi-band LTE system
The fourth-generation (4 G) cellular network is currently the dominant mobile technology used worldwide. The analysis of the network behavior can...
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IoT traffic management using deep learning based on osmotic cloud to edge computing
IoT is critical in many application areas, such as smart cities, health care, and surveillance systems. Each application has its own QoS...
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Palm problems arising in BAR approach and its applications
We consider Palm distributions arising in a Markov process with time homogeneous transitions which is jointly stationary with multiple point...
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LoRa interference issues and solution approaches in dense IoT networks: a review
Low Power Wide Area Networks (LPWAN) are prominent option of wireless communication technology for dense Internet of Things (IoT) applications. With...
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Post-quantum framework for authorized and secure communication in multi-server networking
Multi-server authentication, called single sign-on, enables users to easily access the necessary services from multiple servers with a single...
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The bundled task assignment problem in mobile crowdsensing: a lagrangean relaxation-based solution approach
This paper studies the Bundled Task Assignment Problem in Mobile Crowdsensing (BTAMC), a significant extension of the traditional Task Assignment...
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Optimization of LDPC-coded power series MIMO/FSO link with hybrid-SIM based on machine learning in satellite downlink for 5G and beyond applications
This study presents a thorough evaluation of satellite downlink performance in a Free Space Optics (FSO) system with a Low-Density-Parity-Check...
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Learning optimal admission control in partially observable queueing networks
We develop an efficient reinforcement learning algorithm that learns the optimal admission control policy in a partially observable queueing network....
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A dynamic spectrum access algorithm based on deep reinforcement learning with novel multi-vehicle reward functions in cognitive vehicular networks
As a revolution in the field of transportation, the demand for communication of vehicles is increasing. Therefore, how to improve the success rate of...
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An energy-optimized green cooperative cognitive radio network for better spectrum sharing
Higher energy consumption and poor spectrum sharing were identified as the common problems in spectrum sharing at cognitive radio networks. So to...
