An interference-conscious reduced routing overhead protocol for Device-to-Device (D2D) Networks

Συγγραφείς: Farrukh Salim Shaikh, Yasir Saleem, Roland Wismüller

Πηγή: Computer Communications. 224:169-191

Θεματικοί όροι: Alternative medicine, multi-hop cellular networks, Computer Networks and Communications, Biomedical Engineering, D2D, Optimizing Information Freshness in Communication Networks, Interference (communication), FOS: Medical engineering, Zone Routing Protocol, 7. Clean energy, Engineering, Pathology, Edge Computing, SINR, Routing, Computer network, Routing (electronic design automation), Internet of Things and Edge Computing, Computer science, Routing protocol, LTE, Mobile Edge Computing, Overhead (engineering), Operating system, Diffusion-Based Communication, Enhanced Interior Gateway Routing Protocol, Channel (broadcasting), Computer Science, Physical Sciences, Protocol (science), Interference-aware, Medicine, Nanonetworks and Molecular Communication, Wireless Routing Protocol, Signal-to-interference and noise ratio, Device-to-device communication

Σύνδεσμος πρόσβασης: https://research.aber.ac.uk/en/publications/b3c03e26-d4f0-4483-af5e-22aa6b2f6c40
https://doi.org/10.1016/j.comcom.2024.06.001
https://hdl.handle.net/2160/b3c03e26-d4f0-4483-af5e-22aa6b2f6c40

Comparative Study of Radio Resource Distribution Algorithms

Συγγραφείς: Atef Gharbi, Abdulsamad Ebrahim Yahya, Mohamed Ayari

Πηγή: Engineering, Technology & Applied Science Research. 14:13006-13011

Θεματικοί όροι: Computer Networks and Communications, Next Generation 5G Wireless Networks, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, Intelligent Reflecting Surfaces in Wireless Communications, Computer science, 7. Clean energy, 12. Responsible consumption, Algorithm, Engineering, Physical Sciences, Computer Science, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Smart Radio Environments

Energy-Aware Federated Learning With Distributed User Sampling and Multichannel ALOHA

Συγγραφείς: Rafael Valente da Silva, Onel L. Alcaraz López, Richard Demo Souza

Πηγή: IEEE Communications Letters

Θεματικοί όροι: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Energy Efficiency, Economics, Wireless Energy Harvesting and Information Transfer, FOS: Mechanical engineering, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, 7. Clean energy, Machine Learning (cs.LG), Engineering, 0202 electrical engineering, electronic engineering, information engineering, Efficient energy use, Aloha, Computer network, Energy harvesting, Statistics, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Mechanical engineering, Enhanced Data Rates for GSM Evolution, Physical Sciences, Convergence (economics), Wireless, Telecommunications, Computer Networks and Communications, Computer Science - Information Theory, Wireless Energy Harvesting, Edge device, Artificial Intelligence, Energy Harvesting, FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Cloud computing, Cover (algebra), Electrical Engineering and Systems Science - Signal Processing, Electrical and Electronic Engineering, Economic growth, Information Theory (cs.IT), Computer science, Throughput, Distributed computing, Process (computing), Operating system, Electrical engineering, Computer Science, RF Energy Harvesting, Energy (signal processing), Federated Learning, Mathematics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2309.06033

The Solvability of Consensus in Iterated Models Extended with Safe-Consensus

Συγγραφείς: Rodolfo Conde, Sergio Rajsbaum

Πηγή: Theory of Computing Systems. 67:901-955

Θεματικοί όροι: FOS: Computer and information sciences, Computer Networks and Communications, Fault Tolerance, Social Sciences, Experimental and Cognitive Psychology, 0102 computer and information sciences, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, Prospective Memory Retrieval and Aging, 01 natural sciences, Mathematical analysis, Upper and lower bounds, Database, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Psychology, Snapshot (computer storage), 05Cxx, 68Q17, 68Q25, 68Q85, Computer science, FOS: Psychology, Algorithm, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science, Physical Sciences, Distributed, Parallel, and Cluster Computing (cs.DC), Distributed Fault Tolerance and Consistency in Systems, Iterated function, Consensus algorithm, Mathematics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/1505.01259

Deep Reinforcement Learning-based Online Resource Management for UAV-Assisted Edge Computing with Dual Connectivity

Συγγραφείς: Linh Cao Hoang, Chuyen T. Nguyen, Anh T. Pham

Πηγή: IEEE/ACM Transactions on Networking. 31:2761-2776

Θεματικοί όροι: Artificial intelligence, Computer Networks and Communications, Lyapunov redesign, Chaotic, Unmanned Aerial Vehicle Communications, Aerospace Engineering, FOS: Mechanical engineering, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, Engineering, Server, 0203 mechanical engineering, Reinforcement learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Edge Computing, Base station, Electrical and Electronic Engineering, Optimization problem, Resource allocation, Computer network, Internet of Things and Edge Computing, Mathematical optimization, Integer programming, Edge computing, Intelligent Reflecting Surfaces in Wireless Communications, Computer science, Distributed computing, Mobile Edge Computing, Enhanced Data Rates for GSM Evolution, Algorithm, Queueing theory, Physical Sciences, Computer Science, Q-learning, Mobile edge computing, Lyapunov optimization, Lyapunov exponent, Mathematics

Novel Approaches for Resource Management Across Edge Servers

Συγγραφείς: K. Deva Surya, V. Mary Anita Rajam

Πηγή: International Journal of Networked and Distributed Computing. 11:20-30

Θεματικοί όροι: FOS: Computer and information sciences, Computer network, Artificial intelligence, Internet of Things and Edge Computing, Computer Networks and Communications, Edge computing, 02 engineering and technology, Cloud Computing and Big Data Technologies, Optimizing Information Freshness in Communication Networks, Computer science, Virtual machine, 7. Clean energy, Distributed computing, Mobile Edge Computing, Enhanced Data Rates for GSM Evolution, Operating system, Server, Computer Science, Physical Sciences, Resource Management, 0202 electrical engineering, electronic engineering, information engineering, Edge Computing, Cloud computing, Information Systems

Modelling Mobile-X Architecture for Offloading in Mobile Edge Computing

Συγγραφείς: G. Pandiyan, E. Sasikala

Πηγή: Intelligent Automation & Soft Computing. 36:617-632

Θεματικοί όροι: Artificial intelligence, Computer Networks and Communications, Economics, Mobile device, Fog Computing, Optimizing Information Freshness in Communication Networks, Edge device, 7. Clean energy, Visual arts, Task (project management), Engineering, Server, Architecture, FOS: Electrical engineering, electronic engineering, information engineering, Edge Computing, Cloud computing, Energy Consumption in Mobile Devices and Networks, Electrical and Electronic Engineering, Computer network, Internet of Things and Edge Computing, Edge computing, Computer science, Distributed computing, Management, Mobile Edge Computing, Enhanced Data Rates for GSM Evolution, Operating system, Computer Science, Physical Sciences, Mobile edge computing, FOS: Civil engineering, Art

Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks

Συγγραφείς: Minh N. H. Nguyen, Nguyen H. Tran, Yan Kyaw Tun, Zhu Han, Choong Seon Hong

Πηγή: IEEE Transactions on Mobile Computing. 22:541-555

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial intelligence, Computer Networks and Communications, Knowledge management, Mobile device, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, Machine Learning (cs.LG), Artificial Intelligence, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Computer network, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Crowdsourcing for Research and Data Collection, Computer science, Distributed computing, Computer Science Applications, Collaborative learning, Algorithm, World Wide Web, Computer Science - Distributed, Parallel, and Cluster Computing, Shared resource, Computer Science, Physical Sciences, Distributed, Parallel, and Cluster Computing (cs.DC), Federated Learning, Mobile Sensing

Σύνδεσμος πρόσβασης: https://ieeexplore.ieee.org/ielx7/7755/4358975/09445589.pdf
http://arxiv.org/abs/2011.12469
https://dblp.uni-trier.de/db/journals/corr/corr2011.html#abs-2011-12469
https://arxiv.org/abs/2011.12469
https://ieeexplore.ieee.org/document/9445589
https://arxiv.org/pdf/2011.12469
https://www.computer.org/csdl/journal/tm/5555/01/09445589/1uaalE3ux8c

Hierarchical Scheduling Mechanisms in Multi-Level Fog Computing

Συγγραφείς: Maycon L. M. Peixoto, Thiago A. L. Genez, Luiz F. Bittencourt

Πηγή: IEEE Transactions on Services Computing. 15:2824-2837

Θεματικοί όροι: FOS: Computer and information sciences, Computer Networks and Communications, Economics, Fog Computing, 02 engineering and technology, Cloud Computing and Big Data Technologies, Optimizing Information Freshness in Communication Networks, Latency (audio), 7. Clean energy, 12. Responsible consumption, 0202 electrical engineering, electronic engineering, information engineering, Edge Computing, Cloud computing, Computer network, Internet of Things and Edge Computing, Edge computing, Cloud Computing, Scheduling Policies, Computer science, Distributed computing, Mobile Edge Computing, Operating system, Operations management, Computer Science, Physical Sciences, Telecommunications, Scheduling (production processes), Information Systems

Σύνδεσμος πρόσβασης: https://ieeexplore.ieee.org/ielx7/4629386/4629387/09428571.pdf
https://ieeexplore.ieee.org/abstract/document/9428571

Entropy-Driven Stochastic Policy for Fast Federated Learning in Beyond 5G Edge-RAN

Συγγραφείς: Brahim Aamer, Hatim Chergui, Mustapha Benjillali, Christos Verikoukis

Πηγή: 2021 IEEE Global Communications Conference (GLOBECOM)

Θεματικοί όροι: Computer Networks and Communications, Random variable, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, Quantum mechanics, Database, Engineering, Cluster analysis, Independent and identically distributed random variables, Artificial Intelligence, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Entropy (arrow of time), Electrical and Electronic Engineering, Data mining, Physics, Statistics, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Scalability, Next Generation 5G Wireless Networks, Scheduling Policies, Computer science, Heterogeneous Networks, Computer Science, Physical Sciences, Federated Learning, Mathematics

Dynamic scheduling of heterogeneous resources across mobile edge-cloud continuum using fruit fly-based simulated annealing optimization scheme

Συγγραφείς: Danlami Gabi, Nasiru Muhammad Dankolo, Abubakar Atiku Muslim, Ajith Abraham, Muhammad Usman Joda, Anazida Zainal, Zalmiyah Zakaria

Πηγή: Neural Computing and Applications. 34:14085-14105

Θεματικοί όροι: FOS: Computer and information sciences, CloudSim, Cloud datacenter, Computer Networks and Communications, QA75 Electronic computers. Computer science, Premature convergence, Edge datacenter, Metaheuristic, Local optimum, 02 engineering and technology, Cloud Computing and Big Data Technologies, Optimizing Information Freshness in Communication Networks, Simulated annealing, Bottleneck, 12. Responsible consumption, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Edge Computing, Cloud computing, Embedded system, Computer Sciences, Internet of Things and Edge Computing, Particle swarm optimization, Mathematical optimization, Scalability, Scheduling Policies, Computer science, Distributed computing, Mobile Edge Computing, Algorithm, Operating system, Datavetenskap (datalogi), Computer Science, Physical Sciences, Mobile edge computing, Mobile edge clouds, Mathematics, Fruit fly optimization, Information Systems

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-194467

Intelligent Resource Management Using Multiagent Double Deep Q-Networks to Guarantee Strict Reliability and Low Latency in IoT Network

Συγγραφείς: Adeb Salh, Razali Ngah, Ghasan Ali Hussain, Lukman Audah‏, Mohammed A. Alhartomi, Qazwan Abdullah, Ruwaybih Alsulami, Saeed Alzahrani, Ahmed Alzahmi

Πηγή: IEEE Open Journal of the Communications Society, Vol 3, Pp 2245-2257 (2022)

Θεματικοί όροι: Exploit, Internet of things, Artificial intelligence, Computer Networks and Communications, Wireless Energy Harvesting, Wireless Energy Harvesting and Information Transfer, beyond fifth-generation, TK5101-6720, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, Latency (audio), Quantum mechanics, 7. Clean energy, Engineering, Quality of service, Computer security, Energy Harvesting, Reinforcement learning, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, massive connectivity, Electrical and Electronic Engineering, energy efficiency, HE1-9990, Low latency (capital markets), Computer network, Internet of Things and Edge Computing, Physics, Power (physics), Computer science, Distributed computing, Reliability (semiconductor), Computer Science, Physical Sciences, Information Transfer, Telecommunication, Telecommunications, Wireless Power Transfer, RF Energy Harvesting, Transportation and communications

Σύνδεσμος πρόσβασης: https://doaj.org/article/d53c5713bc1348e29ee5c6d97c041954

A Stackelberg Game-Based Dynamic Resource Allocation in Edge Federated 5G Network

Συγγραφείς: Jargis Ahmed, Md. Abdur Razzaque, Md. Mustafizur Rahman, Salman A. AlQahtani, Mohammad Mehedi Hassan

Πηγή: IEEE Access, Vol 10, Pp 10460-10471 (2022)

Θεματικοί όροι: FOS: Computer and information sciences, Artificial intelligence, Edge federation, Computer Networks and Communications, resource allocation, utility maximization, Stackelberg game, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, Cloud Computing and Big Data Technologies, 12. Responsible consumption, Server, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Edge Computing, Resource allocation, Computer network, Mathematical economics, Internet of Things and Edge Computing, Stackelberg competition, Edge computing, Computer science, Distributed computing, TK1-9971, Mobile Edge Computing, Enhanced Data Rates for GSM Evolution, Computer Science, Physical Sciences, 5G network, mobile edge computing, Electrical engineering. Electronics. Nuclear engineering, Mathematics, Information Systems

Σύνδεσμος πρόσβασης: https://ieeexplore.ieee.org/ielx7/6287639/9668973/09686691.pdf
https://doaj.org/article/736d8448f04e429dafeb9964762c3f04

Federated Learning for Privacy-Preserved Medical Internet of Things

Συγγραφείς: Navod Neranjan Thilakarathne, G. Muneeswari, V. Parthasarathy, Fawaz Alassery, Habib Hamam, Rakesh Kumar Mahendran, Muhammad Shafiq

Πηγή: Intelligent Automation & Soft Computing. 33:157-172

Θεματικοί όροι: Artificial intelligence, Computer Networks and Communications, Economics, Health Informatics, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, 7. Clean energy, Data science, Big data, Server, Artificial Intelligence, Computer security, Health Sciences, 0202 electrical engineering, electronic engineering, information engineering, Cloud computing, Data mining, Economic growth, Artificial Intelligence in Medicine, IoT Monitoring Systems, 9. Industry and infrastructure, 4. Education, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Health care, Computer science, 3. Good health, World Wide Web, Operating system, Computer Science, Physical Sciences, Medicine, Federated Learning, The Internet

Σύνδεσμος πρόσβασης: https://www.techscience.com/iasc/v33n1/46163/pdf

Age-of-Information Dependent Random Access in Multiple-Relay Slotted ALOHA

Συγγραφείς: Gabriel Germino Martins de Jesus, João Luiz Rebelatto, Richard Demo Souza

Πηγή: IEEE Access, Vol 10, Pp 112076-112085 (2022)

Θεματικοί όροι: IoT, Metric (unit), Computer Networks and Communications, Epidemiology, Economics, Multi-hop Networks, Age-of-information, Internet of Things, Age of Information, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, Quantum mechanics, 7. Clean energy, FOS: Economics and business, Engineering, Health Sciences, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Business, Electrical and Electronic Engineering, Marketing, Computer network, Low Power Wide Area Network Technologies, Physics, Performance metric, Relay, relays, Economy, Power (physics), Epidemiology and Management of Congenital Heart Disease, Computer science, Random access, random access, TK1-9971, Information Age, ALOHA, Operations management, Computer Science, Physical Sciences, Medicine, Electrical engineering. Electronics. Nuclear engineering, Random Access Protocols

Σύνδεσμος πρόσβασης: https://doaj.org/article/2e8af1c230684daf953b751bc684a1bf

Distributed Massive MIMO for LEO Satellite Networks

Συγγραφείς: Mohammed Y. Abdelsadek, Güneş Karabulut Kurt, Halim Yanıkömeroğlu

Πηγή: IEEE Open Journal of the Communications Society, Vol 3, Pp 2162-2177 (2022)

Θεματικοί όροι: Signal Processing (eess.SP), FOS: Computer and information sciences, Handover, Satellite communication networks, Astronomy, FOS: Mechanical engineering, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, 7. Clean energy, Engineering, Agile Satellite Scheduling, Quality of service, 0202 electrical engineering, electronic engineering, information engineering, LEO constellations, HE1-9990, Computer network, Low Power Wide Area Network Technologies, Physics, Network architecture, Communications satellite, Constellation, MIMO, LEO Satellite Constellation, Aerospace engineering, Physical Sciences, Multibeam Satellite Systems, Telecommunication, Wireless, Telecommunications, Computer Networks and Communications, cell-free massive MIMO, resource allocation, Aerospace Engineering, TK5101-6720, Real-time computing, Computer Science - Networking and Internet Architecture, Satellite Communication Networks and Systems, FOS: Electrical engineering, electronic engineering, information engineering, Software deployment, handover management, Electrical Engineering and Systems Science - Signal Processing, Electrical and Electronic Engineering, Networking and Internet Architecture (cs.NI), Computer science, Throughput, Distributed computing, Operating system, Satellite, Channel (broadcasting), Computer Science, Transportation and communications

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2211.00832
https://doaj.org/article/4c399dbf8f2a4d21ab9bb03ac0c4d742

Optimal Resource Allocation and Task Segmentation in IoT Enabled Mobile Edge Cloud

Συγγραφείς: Asad Mahmood, Yue Hong, Muhammad Khurram Ehsan, Shahid Mumtaz

Πηγή: IEEE Transactions on Vehicular Technology. 70:13294-13303

Θεματικοί όροι: IoT, Artificial intelligence, Internet of Things and Edge Computing, Computer Networks and Communications, Low Power Wide Area Network Technologies, Fog Computing, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, Computer science, Systems engineering, Mobile Edge Computing, Enhanced Data Rates for GSM Evolution, Algorithm, Task (project management), Operating system, Engineering, Packet Management, Computer Science, Physical Sciences, Computation, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Edge Computing, Cloud computing, Electrical and Electronic Engineering

Σύνδεσμος πρόσβασης: https://www.techrxiv.org/articles/preprint/Optimal_Resource_Allocation_and_Task_Segmentation_in_IoT_Enabled_Mobile_Edge_Cloud/16726561/1/files/30965506.pdf
https://ieeexplore.ieee.org/document/9580711/
https://www.techrxiv.org/articles/preprint/Optimal_Resource_Allocation_and_Task_Segmentation_in_IoT_Enabled_Mobile_Edge_Cloud/16726561
http://www.techrxiv.org/articles/preprint/Optimal_Resource_Allocation_and_Task_Segmentation_in_IoT_Enabled_Mobile_Edge_Cloud/16726561

Delay and Peak-Age-of-Information of ALOHA Networks With Limited Retransmissions

Συγγραφείς: Plínio S. Dester, Pedro H. J. Nardelli, Francisco Helder C. dos S. Filho, Paulo Cardieri, Petar Popovski

Πηγή: Deste, P S, Nardelli, P H J, C. dos Santos Filho, F H, Cardieri, P & Popovski, P 2021, 'Delay and Peak-Age-of-Information of ALOHA Networks with Limited Retransmissions', I E E E Wireless Communications Letters, vol. 10, no. 10, pp. 2328-2332. https://doi.org/10.1109/LWC.2021.3100934

Θεματικοί όροι: delay, Computer Networks and Communications, Epidemiology, Retransmission, Wireless communication, Optimizing Information Freshness in Communication Networks, Licenses, Engineering, Packet Management, Health Sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Random variables, Electrical and Electronic Engineering, Wireless network, retransmission, Aloha, Measurement, Computer network, Network packet, Low Power Wide Area Network Technologies, Markov processes, Statistics, Epidemiology and Management of Congenital Heart Disease, Computer science, Throughput, AoI, Computer Science, Physical Sciences, Poisson distribution, Wireless, Telecommunications, Medicine, Random Access Protocols, Mathematics

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://ieeexplore.ieee.org/ielx7/5962382/9560169/09501029.pdf
http://www.scopus.com/inward/record.url?scp=85112645793&partnerID=8YFLogxK
https://vbn.aau.dk/ws/files/464985885/Delay_and_Peak_Age_of_Information_of_ALOHA_Networks_With_Limited_Retransmissions.pdf
https://vbn.aau.dk/da/publications/260f8903-cf73-4c2e-9dc2-73bdcfc38904
https://doi.org/10.1109/LWC.2021.3100934
https://ieeexplore.ieee.org/document/9501029
https://eksperter.aau.dk/da/publications/delay-and-peak-age-of-information-of-aloha-networks-with-limited-
https://dblp.uni-trier.de/db/journals/wcl/wcl10.html#DesterNFCP21
https://vbn.aau.dk/en/publications/delay-and-peak-age-of-information-of-aloha-networks-with-limited-

A survey on cognitive radio network attack mitigation using machine learning and blockchain

Συγγραφείς: I. Evelyn Ezhilarasi, J. Christopher Clement, Joseph M. Arul

Πηγή: EURASIP Journal on Wireless Communications and Networking, Vol 2023, Iss 1, Pp 1-20 (2023)

Θεματικοί όροι: FOS: Computer and information sciences, TK7800-8360, Computer Networks and Communications, Economics, Cognitive radio, Primary user emulation attack, Spectrum sensing data falsification attack, Spectrum management, TK5101-6720, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, 7. Clean energy, Cognitive Radios, Blockchain, Cognition, Computer security, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Microeconomics, Jamming attack, Spectrum Sensing, Biology, Computer network, Scarcity, Cognitive Radio Networks and Spectrum Management, Blockchain and Internet of Things Integration, Deep learning, Network security, Computer science, Throughput, Spectrum Sharing, Computer Science, Physical Sciences, Telecommunication, Telecommunications, Wireless, Electronics, Cognitive network, Information Systems, Neuroscience

Σύνδεσμος πρόσβασης: https://doaj.org/article/fba6fa672ec1408e9481a7af986f7f24

Adaptive resource allocation for time-critical applications in industrial edge computing using Heuristic-HCMDO approach

Συγγραφείς: K. Udayakumar, S. Ramamoorthy

Θεματικοί όροι: Artificial intelligence, Computer Networks and Communications, Heuristic, Optimizing Information Freshness in Communication Networks, Latency (audio), Edge device, 7. Clean energy, 12. Responsible consumption, Server, Edge Computing, Cloud computing, Resource allocation, Computer network, Internet of Things and Edge Computing, 9. Industry and infrastructure, Edge computing, Scheduling Policies, Computer science, Distributed computing, Mobile Edge Computing, Operating system, Computer Science, Physical Sciences, Telecommunications, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition