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Network Usage and Time Efficient Performance Enhancement Model for IoT Applications in Fog Cloud Computing

• Authors : Upma Arora; Nipur Singh

Subjects: iot applications; fog computing; cloud computing

• Source: International Journal of Mathematical, Engineering and Management Sciences, Vol 10, Iss 2, Pp 506-521 (2025)

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Comparative study of IoT- and AI-based computing disease detection approaches

• Authors : Wasiur Rhmann; Jalaluddin Khan; Ghufran Ahmad Khan

Subjects: Deep learning; Internet of Things (IoT); Cloud computing

• Source: Data Science and Management, Vol 8, Iss 1, Pp 94-106 (2025)

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TACTILE WARNING PANEL SYSTEM WITH GEOTHERMAL SYSTEM

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Securing fog computing in healthcare with a zero-trust approach and blockchain.

• Authors : Kaur, Navjeet¹ (AUTHOR) ; Mittal, Ayush² (AUTHOR) ; Lilhore, Umesh Kumar^3,4 (AUTHOR)

• Source: EURASIP Journal on Wireless Communications & Networking. 2/5/2025, Vol. 2025 Issue 1, p1-29. 29p.

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Differentially-Private Multi-Tier Federated Learning: A Formal Analysis and Evaluation

• Authors : Chen, Evan; Lin, Frank Po-Chen; Han, Dong-Jun

Subjects: Computer Science - Networking and Internet Architecture

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Digital Twin-empowered intelligent computation offloading for edge computing in the era of 5G and beyond: A state-of-the-art survey

• Authors : Hoa Tran-Dang; Dong-Seong Kim

Subjects: Fog computing systems; Task offloading; Task division

• Source: ICT Express, Vol 11, Iss 1, Pp 167-180 (2025)

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Machine Learning-Based Resource Management in Fog Computing: A Systematic Literature Review.

• Authors : Khan, Fahim Ullah¹ (AUTHOR) ; Shah, Ibrar Ali¹ (AUTHOR) ; Jan, Sadaqat¹ (AUTHOR)

• Source: Sensors (14248220). Feb2025, Vol. 25 Issue 3, p687. 37p.

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Empowering drones in vehicular network through fog computing and blockchain technology.

• Authors : Wadhwa S; Institute of Engineering and Technology, Chitkara University, Punjab, India.; Gupta D

Subjects: Blockchain* ; Algorithms*; Internet of Things

• Source: PloS one [PLoS One] 2025 Jan 24; Vol. 20 (1), pp. e0314420. Date of Electronic Publication: 2025 Jan 24 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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A comprehensive survey on software‐defined networking for smart communities.

• Authors : Chaudhary, Rajat¹ (AUTHOR); Aujla, Gagangeet Singh² (AUTHOR) ; Kumar, Neeraj³ (AUTHOR)

• Source: International Journal of Communication Systems. 1/10/2025, Vol. 38 Issue 1, p1-50. 50p.

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UIoTN‐PMSE: Ubiquitous IoT network‐based predictive modeling in smart environment.

• Authors : Karuppiah, Marimuthu¹ (AUTHOR) ; Ramana, T. V.² (AUTHOR) ; Mohanty, Rajanikanta³ (AUTHOR)

• Source: International Journal of Communication Systems. 1/10/2025, Vol. 38 Issue 1, p1-22. 22p.

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6G‐based resource utilization framework in software defined hybrid vehicular networks.

• Authors : Mittal, Shilpi¹ (AUTHOR); Bali, Rasmeet Singh² (AUTHOR)

• Source: International Journal of Communication Systems. 1/10/2025, Vol. 38 Issue 1, p1-21. 21p.

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Ensuring Reliable Network Communication and Data Processing in Internet of Things Systems with Prediction-Based Resource Allocation.

• Authors : Symbor W; Department of Computer Science and Systems Engineering, Faculty of Information and Communication Technology, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.; Falas Ł

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Jan 04; Vol. 25 (1). Date of Electronic Publication: 2025 Jan 04.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Fault tolerant & priority basis task offloading and scheduling model for IoT logistics

• Authors : Asif Umer; Mushtaq Ali; Ali Daud

Subjects: IoT task offloader; Fog VM selection; Energy consumption

• Source: Alexandria Engineering Journal, Vol 110, Iss , Pp 400-419 (2025)

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Location-aware job scheduling for IoT systems using cloud and fog

• Authors : Xiaomo Yu; Mingjun Zhu; Menghan Zhu

Subjects: Scheduling; Cloud computing; Internet of things

• Source: Alexandria Engineering Journal, Vol 110, Iss , Pp 346-362 (2025)

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Urban Sound Recognition in Smart Cities Using an IoT–Fog Computing Framework and Deep Learning Models: A Performance Comparison

• Authors : Buket İşler

Subjects: IoT; fog computing; urban sound recognition

• Source: Applied Sciences, Vol 15, Iss 3, p 1201 (2025)

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A Secure and Efficient Authentication Scheme for Fog-Based Vehicular Ad Hoc Networks

• Authors : Sangjun Lee; Seunghwan Son; DeokKyu Kwon

Subjects: fog computing; vehicular ad hoc network; lightweight

• Source: Applied Sciences, Vol 15, Iss 3, p 1229 (2025)

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Survey of energy-efficient fog computing: Techniques and recent advances

• Authors : Alsharif, Mohammed H.; Jahid, Abu; Kannadasan, Raju

• Source: Energy Reports ; volume 13, page 1739-1763 ; ISSN 2352-4847

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Examining Critical Factors in FCA_SAPO Framework: a Qualitative and Quantitative Study on the Adoption of Fog Computing in Saudi Arabian Public Organisation by IT Employees

• Authors : Mohammed Alyami; Natalia Beloff; Martin White

Subjects: FCA-SAPO framework; fog computing; Saudi Arabia

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IETAFusion: An illumination enhancement and target‐aware infrared and visible image fusion network for security system of smart city.

• Authors : Guo, Shuang¹ (AUTHOR); Wu, Kun¹ (AUTHOR); Jeon, Seunggil² (AUTHOR)

• Source: Expert Systems. Jan2025, Vol. 42 Issue 1, p1-19. 19p.

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Figure 7: Basic framework for fog computing based healthcare.

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Energy-Efficient Distributed Edge Computing to Assist Dense Internet of Things.

• Authors : Algarni, Sumaiah; El-Samie, Fathi E. Abd

Subjects: DISTRIBUTED computing; EDGE computing; SENSOR placement

• Source: Future Internet; Jan2025, Vol. 17 Issue 1, p37, 23p

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On Edge-Fog-Cloud Collaboration and Reaping Its Benefits: A Heterogeneous Multi-Tier Edge Computing Architecture.

• Authors : Fernando, Niroshinie¹ (AUTHOR) ; Shrestha, Samir¹ (AUTHOR); Loke, Seng W.¹ (AUTHOR)

Subjects: *Distributed computing; *Cloud computing; *Electronic data processing

• Source: Future Internet. Jan2025, Vol. 17 Issue 1, p22. 23p.

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On Edge-Fog-Cloud Collaboration and Reaping Its Benefits: A Heterogeneous Multi-Tier Edge Computing Architecture

• Authors : Niroshinie Fernando; Samir Shrestha; Seng W. Loke

Subjects: edge computing; fog computing; cloud computing

• Source: Future Internet, Vol 17, Iss 1, p 22 (2025)

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Energy-Efficient Distributed Edge Computing to Assist Dense Internet of Things

• Authors : Sumaiah Algarni; Fathi E. Abd El-Samie

Subjects: distributed computing; IoT; fog computing

• Source: Future Internet, Vol 17, Iss 1, p 37 (2025)

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Improving the performance of the fuzzy-internet of things joint system by using an efficient service deployment algorithm

• Authors : Razzaq, Ali Ahmed; Rao, Kunjam Nageswara

Subjects: Cloud computing; Energy consumption; Fog computing

• Source: IAES International Journal of Artificial Intelligence (IJ-AI); Vol 14, No 1: February 2025; 172-181 ; 2252-8938 ; 2089-4872 ; 10.11591/ijai.v14.i1

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O2O-PLB: A One-to-One-Based Optimizer With Priority and Load Balancing Mechanism for Resource Allocation in Fog-Cloud Environments

• Authors : V. C. Bharathi; S. Syed Abuthahir; Monelli Ayyavaraiah

Subjects: Cloud computing; fog computing; resource allocation

• Source: IEEE Access, Vol 13, Pp 22146-22155 (2025)

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An Efficient and Hybrid Deep Learning-Driven Model to Enhance Security and Performance of Healthcare Internet of Things

• Authors : Muhammad Babar; Muhammad Usman Tariq; Basit Qureshi

Subjects: BiLSTM; deep learning; fog computing

• Source: IEEE Access, Vol 13, Pp 22931-22945 (2025)

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Resource Adaptive Automated Task Scheduling Using Deep Deterministic Policy Gradient in Fog Computing

• Authors : Prashanth Choppara; S. Sudheer Mangalampalli

Subjects: Fog computing; task scheduling; deep deterministic policy gradient (DDPG)

• Source: IEEE Access, Vol 13, Pp 25969-25994 (2025)

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Efficient Task Scheduling and Load Balancing in Fog Computing for Crucial Healthcare Through Deep Reinforcement Learning

• Authors : Prashanth Choppara; Bommareddy Lokesh

Subjects: Fog nodes; task scheduling; DRL

• Source: IEEE Access, Vol 13, Pp 26542-26563 (2025)

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Multi-Tier Blockchain-Based Land Registry Using Fog Computing

• Authors : Priyadarshi, Ashank; Sree, Thankaraja Raja

• Source: IEEE Access ; volume 13, page 13238-13249 ; ISSN 2169-3536

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Challenges and Opportunities in Fog Computing Scheduling: A Literature Review

• Authors : Chia Chuan, Wu; Ul Arfeen Laghari, Shams; Manickam, Selvakumar

• Source: IEEE Access ; volume 13, page 14702-14726 ; ISSN 2169-3536

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Automated Fog Node Audit and Certification Scheme With Multiple Attestation Certificate Authorities

• Authors : Shuaib Anath; Tahmid Quazi; Bashan Naidoo

Subjects: Attestation; attestation key; availability

• Source: IEEE Access, Vol 13, Pp 11204-11216 (2025)

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A Verifiable and Secure Industrial IoT Data Deduplication Scheme With Real-Time Data Integrity Checking in Fog-Assisted Cloud Environments

• Authors : Jakkarin Lapmoon; Somchart Fugkeaw

Subjects: Secure deduplication; fog computing; cloud computing

• Source: IEEE Access, Vol 13, Pp 11969-11988 (2025)

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Multi-Tier Blockchain-Based Land Registry Using Fog Computing

• Authors : Ashank Priyadarshi; Thankaraja Raja Sree

Subjects: Blockchain; fog computing; Merkle tree

• Source: IEEE Access, Vol 13, Pp 13238-13249 (2025)

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Challenges and Opportunities in Fog Computing Scheduling: A Literature Review

• Authors : Wu Chia Chuan; Shams Ul Arfeen Laghari; Selvakumar Manickam

Subjects: Fog computing; task scheduling; scheduler technique

• Source: IEEE Access, Vol 13, Pp 14702-14726 (2025)

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Privacy-Preserving Hierarchical Reinforcement Learning Framework for Task Offloading in Low-Altitude Vehicular Fog Computing

• Authors : Wei, Zhiwei; Mao, Jingxin; Li, Bing ...

• Source: IEEE Open Journal of the Communications Society ; page 1-1 ; ISSN 2644-125X

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AI augmented edge and fog computing for Internet of Health Things (IoHT)

• Authors : Rajagopal, Deepika; Subramanian, Pradeep Kumar Thimma; Vellore Institute of Technology, Chennai

• Source: PeerJ Computer Science ; volume 11, page e2431 ; ISSN 2376-5992

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Predecting power transformer health index and life expectation based on digital twins and multitask LSTM-GRU model

• Authors : Nora El-Rashidy; Yara A. Sultan; Zainab H. Ali

Subjects: Power transformer; Transformer health index; Machine learning

• Source: Scientific Reports, Vol 15, Iss 1, Pp 1-29 (2025)

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Hybrid Prairie Dog and Dwarf Mongoose optimization algorithm-based application placement and resource scheduling technique for fog computing environment

• Authors : R. Baskar; E. Mohanraj; M. Saradha

Subjects: Internet of things (IoT); Fog computing; Prairie Dog optimization algorithm (PDOA)

• Source: Scientific Reports, Vol 15, Iss 1, Pp 1-25 (2025)

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FFL-IDS: A Fog-Enabled Federated Learning-Based Intrusion Detection System to Counter Jamming and Spoofing Attacks for the Industrial Internet of Things.

• Authors : Rehman, Tayyab¹ (AUTHOR) ; Tariq, Noshina² (AUTHOR) ; Khan, Farrukh Aslam³ (AUTHOR)

• Source: Sensors (14248220). Jan2025, Vol. 25 Issue 1, p10. 34p.

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A content-based recommender system for the UAV caching in the field of entertainment in fog computing.

• Authors : DARBANIAN, Elham¹; NICKRAY, Mohsen¹

Subjects: *DRONE aircraft; *RECOMMENDER systems; *COMPUTER systems

• Source: Turkish Journal of Electrical Engineering & Computer Sciences. 2025, Vol. 33 Issue 1, p48-64. 17p.

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Enhancing Intelligent Transport Systems Through Decentralized Security Frameworks in Vehicle-to-Everything Networks

• Authors : Usman Tariq; Tariq Ahamed Ahanger

Subjects: vehicular ad hoc networks (VANETs); decentralized intrusion detection systems (D-IDSs); interconnectivity

• Source: World Electric Vehicle Journal, Vol 16, Iss 1, p 24 (2025)

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GAP: Game Theory-Based Approach for Reliability and Power Management in Emerging Fog Computing

• Authors : Younesi, Abolfazl; Ansari, Mohsen; Ejlali, Alireza

Subjects: Computer Science - Distributed, Parallel, and Cluster Computing; Computer Science - Emerging Technologies; Computer Science - Computer Science and Game Theory

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Grey Wolf-Based Task Scheduling in Vehicular Fog Computing Systems

• Authors : Taghizadeh, Maryam; Ahmadi, Mahmood

Subjects: Computer Science - Networking and Internet Architecture

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METHODS, SYSTEMS, APPARATUSES, AND DEVICES FOR FACILITATING FOG COMPUTING AND PROVIDING RESILIENCY AGAINST ATTACKS

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Dynamic multi-criteria scheduling algorithm for smart home tasks in fog-cloud IoT systems.

• Authors : Bhakhar R; Department of computer science and applications, Maharshi Dayanand University, Rohtak, India. .; Chhillar RS

• Source: Scientific reports [Sci Rep] 2024 Dec 02; Vol. 14 (1), pp. 29957. Date of Electronic Publication: 2024 Dec 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Optimizing Microservices Placement in the Cloud-to-Edge Continuum: A Comparative Analysis of App and Service Based Approaches

• Authors : Mota-Cruz, Miguel; Santos, João H; Macedo, José F

Subjects: Computer Science - Networking and Internet Architecture

• Source: 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON), Porto, Portugal, 2024, pp. 1321-1326

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Applying the Cheetah Algorithm to optimize resource allocation in the fog computing environment.

• Authors : Arvaneh, Fatemeh; Zarafshan, Faraneh; Karimi, Abbas

Subjects: METAHEURISTIC algorithms; SEARCH algorithms; HEURISTIC algorithms

• Source: Applied Artificial Intelligence; 2024, Vol. 38 Issue 1, p1-28, 28p

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Applying the Cheetah Algorithm to optimize resource allocation in the fog computing environment

• Authors : Fatemeh Arvaneh; Faraneh Zarafshan; Abbas Karimi

Subjects: Electronic computers. Computer science; QA75.5-76.95; Cybernetics

• Source: Applied Artificial Intelligence, Vol 38, Iss 1 (2024)

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A Secure and Reliable Fog-Enabled Architecture Using Blockchain With Functional Biased Elliptic Curve Cryptography Algorithm for Healthcare Services

• Authors : charu awasthi; Satya Prakash; Prashant Kumar Mishra

Subjects: blockchain; fog computing; functional biased elliptic curve cryptography algorithm (fb-ecc)

• Source: Blockchain in Healthcare Today, Vol 7, Iss 3 (2024)

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