Related references
Note: Only part of the references are listed.
Article
Computer Science, Interdisciplinary Applications
Sahil et al.
Summary: This paper proposes a fog-cloud centric IoT-based framework for smart disaster management. The framework prioritizes the evacuation of stranded individuals by providing real-time classification and evacuation strategies based on health and environmental data. Experimental evaluation demonstrates the efficiency of the framework in classification and data transmission.
EARTH SCIENCE INFORMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Ibrar Yaqoob et al.
Summary: Blockchain technology has the potential to significantly revolutionize healthcare data management systems, bringing innovation and improvements. However, the adoption of blockchain technology also faces challenges that require further research and exploration.
NEURAL COMPUTING & APPLICATIONS
(2022)
Review
Chemistry, Analytical
Omer Ali et al.
Summary: This research provides a comprehensive overview of the enabling technologies and standards of the IoT technology stack. It discusses the layered architecture approach and the role of middleware platforms in IoT application development and integration. The research also addresses the optimization of the IoT technology stack and investigates the interfacing of Fog/Edge Networks.
Review
Chemistry, Analytical
Ahmed Alkhateeb et al.
Summary: This study provides a systematic literature review on the use of hybrid blockchain platforms. It reveals that security, transparency, and efficiency are the main motivations for adopting these platforms, while energy, agriculture, health, construction, manufacturing, and supply chain are the top domains of application. Cloud computing, fog computing, telecommunications, and edge computing are the most adopted technologies. The study highlights both the benefits and challenges of using hybrid blockchains.
Article
Telecommunications
Ankush Manocha
Summary: This study focuses on monitoring indoor environmental pollution using smart sensors and IoT technology to predict the health status of pregnant women and proposes a solution to address health emergencies. Experimental simulations on environmental and health datasets validate the system's performance in event classification, severity prediction, temporal delay efficiency, and overall performance stability. The proposed solution demonstrates considerable performance compared to existing decision-making approaches.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Mathematical & Computational Biology
K. Butchi Raju et al.
Summary: A proposed model integrates Edge-Fog-Cloud computing to collect patient data and use an optimized neural network for diagnosis, improving accuracy and speed. Through performance analysis, it is confirmed that the suggested system outperforms traditional models in terms of precision.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2022)
Article
Computer Science, Information Systems
Osvaldo Ribeiro et al.
Summary: This paper presents a human fall detection solution based on IoT devices. The proposed solution is non-intrusive and can be deployed in various settings, such as homes, hospitals, rehabilitation facilities, and elderly homes. It utilizes a three-layered computation architecture of edge, fog, and cloud. A mathematical model using the Morlet wavelet and an artificial intelligence model using artificial neural networks are employed for human fall classification, and the combination of both models achieves an accuracy of 92.5% without false negatives.
Article
Computer Science, Artificial Intelligence
Vu Khanh Quy et al.
Summary: This article discusses the importance of healthcare applications in driving technological development, and explores the use of cloud, edge, and fog computing technologies in healthcare. Research findings indicate significant potential for Fog-based Healthcare IoT applications, presenting important implications for future development.
COMPLEX & INTELLIGENT SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Munish Bhatia et al.
Summary: The study utilizes T-RNN and SOM techniques to monitor and prevent the outbreak of AES in Bihar, India, and validates the superior performance of the system through numerous simulations, future research needs to focus on the security aspect of infectious viruses.
COGNITIVE COMPUTATION
(2022)
Article
Computer Science, Hardware & Architecture
Wael Doghri et al.
Summary: The birth of Cyber-Physical Systems (CPS) marked the emergence of a new generation of systems that combine computational and physical capabilities. CPS has significant impact on Structural Health Monitoring System applications and is a promising domain for research. SHM based on wireless sensor networks (WSNs) offers cost-saving benefits for infrastructure maintenance, attracting attention for its diverse applications and importance in public safety.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Engineering, Multidisciplinary
M. M. Kamruzzaman et al.
Summary: This paper presents an F-AMLF that combines fuzzy-assisted machine learning framework with fog computing to improve the effectiveness of health care monitoring systems. By using fuzzy logic to calculate the required computing capacity, device resource cost reduction is achieved while maintaining efficiency, enabling accurate monitoring and prediction of health data.
Article
Computer Science, Hardware & Architecture
Dandan Peng et al.
Summary: The development of medical sensors and IoT in the eHealth industry provides opportunities for disease diagnosis and prognosis research. Fog computing, as an intermediate layer between things and clouds, is useful for addressing the challenges in real-time and low-latency requirements of IoT applications in eHealth.
MOBILE NETWORKS & APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Kuldeep Singh et al.
Summary: Epilepsy, a psychosocial neurological disorder, poses a significant threat to public health. This study proposes a cloud-fog integrated smart neurocare approach using deep learning for real-time and computationally efficient seizure detection. The convolutional neural network-based temporal analysis approach outperforms others with high accuracy, sensitivity, and specificity.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Telecommunications
Ravi Kumar Suggala et al.
Summary: Cloud-based fog computing technology is used to prevent mosquito-borne diseases by encrypting personal information, diagnosing diseases, and analyzing social networks. It achieves early prevention and accurate prediction of epidemic outbreaks, improving prevention effectiveness and computing speed.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Review
Chemistry, Analytical
Mudassar Ali Khan et al.
Summary: The Internet of medical things (IoMT) connects humans, devices, sensors, and systems to improve healthcare services. Although it brings efficient, accessible, and secure personalized health services, it also faces challenges. This survey explores authentication techniques proposed for IoT-enabled healthcare systems.
Review
Engineering, Electrical & Electronic
Naser Shirvanian et al.
Summary: This study conducted a systematic literature review to investigate and classify the various topics and key areas in IoT data management. The findings highlight the challenges in data processing, data smartness application, data collection, data security, and data storage, and provide future directions for IoT data management.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Tariq Ahamed Ahanger et al.
Summary: This article analyzes the quality of healthcare services provided by hospitals and healthcare centers using Internet of Things (IoT) technology. It quantifies healthcare service using the Probability of Health Grade (PoHG) and performs numerical analysis of healthcare service quality using the health quality index (HQI). It also uses a 2-player game theory-inspired decision modeling to analyze healthcare quality in a time-sensitive manner. The evaluation of the proposed framework in a simulated environment shows enhanced performance measures in terms of classification efficacy, decision-making efficiency, temporal delay, and reliability.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Hardware & Architecture
Aditya Gupta et al.
Summary: Viral encephalitis is a contagious disease that causes concern worldwide. This paper proposes an intelligent cyber-physical healthcare framework based on the IoT-fog-cloud collaborative network, which uses soft-computing technology and information fusion to monitor and diagnose cases in real time. The framework acquires data from various sources, processes it in the fog and cloud layers, and issues alerts to stakeholders based on the risk factor.
NEW GENERATION COMPUTING
(2022)
Review
Chemistry, Analytical
Saima Gulzar Ahmad et al.
Summary: Information and communication technology (ICT) using sensing and artificial intelligence (AI) can improve maternal and infant health in remote areas. Sensors are used to measure health parameters, and machine learning techniques predict the health conditions of patients. These healthcare systems deal with large amounts of data, and significant development has been made in computing platforms. This article reviews wearable sensors and AI algorithms in existing systems, analyzes their features and outcomes, and discusses future challenges and research directions.
Article
Telecommunications
Deepanshu Arora et al.
Summary: This article presents the importance and applications of Internet of Things in healthcare, covering emerging technologies in IoT healthcare applications and WBAN-based IoT healthcare systems and security challenges. It also discusses the current state and future development of this field.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Sapna Kumari et al.
Summary: The study presents a system based on deep learning and GIS for monitoring and preventing the spread of Acute Encephalitis Syndrome, providing effective medical decision support through real-time alert generation and spatial analysis techniques.
Review
Computer Science, Information Systems
Daria Alekseeva et al.
Summary: Healthcare is crucial in everyone's life, and the development of Information and Communication Technologies (ICT) has provided opportunities to improve accessibility and effectiveness in the healthcare system. This paper focuses on computing solutions for medical use cases and provides a comprehensive survey on standardization, applicable computing paradigms, and security limitations.
COMPUTER SCIENCE REVIEW
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Syed Saba Raoof et al.
Summary: The growth and integration of Deep Learning and the Internet of Things are revolutionizing various sectors including agriculture, manufacturing, energy, transportation, healthcare, etc. The combination of deep learning, cloud, and IoT has the potential to enhance overall automation and enable remote healthcare services, disease detection, and diagnosis. Smart healthcare systems have the potential to improve the quality of life by providing convenient and comfortable living. Deep learning with IoT can be applied in remote areas for automating the diagnosis and treatment process, which includes disease prevention and diagnosis, fitness and patient monitoring, and emergency systems.
CONTRAST MEDIA & MOLECULAR IMAGING
(2022)
Article
Chemistry, Analytical
Sahar Busaeed et al.
Summary: This paper proposes an innovative approach using LiDAR, servo motor, and ultrasonic sensor combined with deep learning to help visually impaired individuals identify obstacles. The method utilizes smart glasses and a smartphone application to collect data, detect objects, and provide feedback, consuming less energy and achieving faster speed compared to traditional methods.
Article
Computer Science, Software Engineering
Shreya Ghosh et al.
Summary: This article proposes a spatio-temporal knowledge mining framework named STOPPAGE to model the impact of human mobility and contextual information on large geographic areas. Experimental evaluations on real-life datasets related to COVID-19 in India show the effectiveness of the proposed methods in predicting hotspots and reducing smartphone power consumption.
SOFTWARE-PRACTICE & EXPERIENCE
(2022)
Review
Computer Science, Information Systems
Vijaita Kashyap et al.
Summary: Advancements in technology have enabled remote monitoring, diagnosis, and treatment of patients. Through the use of Internet of Things (IoT) and fog computing, physicians can access and process patients' vital signs remotely to recommend prescriptions and treatment plans. This research investigates the techniques, technologies, and performance parameters of fog computing in healthcare IoT-based systems, and compares strategies, tools, and sensors used in various diseases.
Review
Computer Science, Information Systems
Devendra Singh et al.
Summary: Monitoring cattle health is crucial for meeting population growth demands and achieving sustainability. Traditional methods need to be strengthened, and digital technologies such as IoT and AI have proven effective in real-time monitoring and intelligent analytics. This study examines cattle health disorders, discusses the significance of digital technologies, and presents IoT and AI integration for cattle health monitoring.
Review
Computer Science, Artificial Intelligence
Sachi Chaudjary et al.
Summary: The telesurgery system, as one of the most critical applications in telemedicine, faces security and trust issues in patient data. This study presents a comprehensive survey on secure telesurgery systems and proposes a blockchain and federated learning-based solution to secure communication between patients and surgeons.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
(2022)
Article
Computer Science, Information Systems
Eatedal Alabdulkreem et al.
Summary: This study proposes a method for analyzing healthcare information and making future predictions. The method reduces the number of features and improves accuracy by using the Chaotic Cuckoo Optimization algorithm and Convolutional Support Vector Machine (CSVM).
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Computer Science, Information Systems
Sagheer Khan et al.
Summary: This paper explores the application of digital twin in the industry and healthcare sectors, presenting the characteristics, communication technologies and tools used, as well as discussing the reference models, standards, challenges, and unresolved issues.
Article
Telecommunications
Ibrahim M. El-Hasnony et al.
Summary: The Internet of Things is a leading technological advancement that generates vast amounts of valuable data requiring timely processing for reliable decisions. However, the data quality is often inadequate, incomplete, uncertain, and sourced from multiple origins. Cloud-fog-mist combinations are proposed for handling IoT data, while a hybrid real-time patient monitoring framework integrating mist, fog, and cloud is introduced in this article.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2021)
Article
Computer Science, Artificial Intelligence
Aiiad Albeshri
Summary: This paper addresses the challenges in human activity recognition research by proposing an HAR method based on Soft-Voting and Self-Learning. Experiment results show that the proposed method outperforms other algorithms in terms of prediction accuracy.
Article
Computer Science, Information Systems
Prabhat Kumar et al.
Summary: Internet of Medical Things (IoMT), a branch of Internet of Things (IoT), provides unparalleled benefits in improving patient care quality and treatment efficiency. However, the increasing severity and frequency of cyber-attacks in IoMT environments pose significant challenges.
COMPUTER COMMUNICATIONS
(2021)
Review
Computer Science, Hardware & Architecture
Ali Akbar Sadri et al.
Summary: Fog computing is a novel paradigm aimed at addressing challenges such as latency in IoT due to the distance between end devices and cloud computing. A systematic literature review was conducted to classify and analyze researches in the fog data management domain from 2014 to 2019, resulting in a context-based taxonomy including data processing, data storage, and data security.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
Review
Computer Science, Hardware & Architecture
Mostafa Haghi Kashani et al.
Summary: Internet of Things (IoT) is an expanding ecosystem integrating software, hardware, physical objects, and computing devices for communication, data collection, and exchange. In healthcare systems, IoT shows potential in reducing strain and providing tailored health services. A systematic review of 146 articles classified existing Healthcare IoT (HIoT) systems, discussed their benefits and limitations, and highlighted future trends and challenges in the field.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
Review
Computer Science, Theory & Methods
Jagdeep Singh et al.
Summary: Fog computing has become a well-established paradigm for optimizing Quality of Service requirements among IoT devices. This systematic literature review paper investigates the current status in the area of fog computing, discussing important characteristics and issues related to its architectural design and implementation details. Various open research challenges and promising future directions in the field are highlighted for further research.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2021)
Review
Computer Science, Artificial Intelligence
L. Erhan et al.
Summary: Anomaly detection is about identifying data patterns that significantly deviate from expected behavior, with a wide range of application domains. Detecting anomalies in sensor systems poses challenges in information fusion, data volumes, data speed, and network/energy efficiency. Finding trade-offs between computing-energy-accuracy in a constrained environment is particularly difficult.
INFORMATION FUSION
(2021)
Article
Computer Science, Hardware & Architecture
Munish Bhatia et al.
Summary: This research proposes a comprehensive smart home-based health monitoring framework for veterinary that utilizes Internet of Medical Things technology to monitor the health condition of domestic animals remotely within the home environment. The framework incorporates fog computing, Health Severity Index, Time Sensitivity Parameter, and utilizes Recurrent Neural Network model to provide predictive healthcare services. Validation on challenging datasets demonstrates high precision, accuracy, sensitivity, and F-measure of the framework.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Review
Computer Science, Information Systems
QingQing Chang et al.
Summary: Computation and data sensitivity are key metrics in the current Internet of Things (IoT). Fog computing enhances cloud computing by introducing options and facilities at the network edge, improving processing and interventions through IoT devices in healthcare frameworks. This study analyzes existing methodologies in fog computing e-healthcare to overcome challenges and improve quality of medical services.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2021)
Review
Medicine, General & Internal
Matthew J. Page et al.
Summary: The PRISMA statement was designed to help systematic reviewers transparently report the purpose, methods, and findings of their reviews. The updated PRISMA 2020 statement includes new reporting guidance, a 27-item checklist, an abstract checklist, and revised flow diagrams for reviews.
BMJ-BRITISH MEDICAL JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Sreelakshmi Krishnamoorthy et al.
Summary: Healthcare 4.0 aims to improve the quality of healthcare services by integrating advanced technologies like Healthcare IoT, Tele-healthcare, and Wireless Body Area Networks. It emphasizes the importance of security and privacy in future healthcare systems, while also highlighting the potential of emerging technologies to create better healthcare solutions.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2021)
Article
Mathematics, Interdisciplinary Applications
Dong Xue et al.
Summary: Fog computing has great potential in healthcare, improving processing and decision-making capabilities for better health monitoring systems. The research used analytic network process for selection and ranking of IoT devices, achieving successful outcomes.
Article
Automation & Control Systems
Amrita Sisodia et al.
Summary: The concept of health 4.0 is inspired by industry 4.0, aiming to make health management more timely and personalized. New technologies like 5G are providing ambient intelligence for the coordination of medical services. The intersection of big data and industry 4.0 in healthcare is gaining attention from academics and industries.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2021)
Article
Computer Science, Information Systems
Zahra Ahmadi et al.
Summary: The healthcare system aims to improve the health of society through reliable and organized solutions. With the significant growth in healthcare systems, fog computing architecture is proposed to address challenges such as data volume, response time, latency, and security vulnerabilities. By placing processing components between end devices and cloud components, the fog computing architecture can provide real-time response and low latency for healthcare applications.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Review
Environmental Sciences
Se-Ra Oh et al.
Summary: The integration of state-of-the-art technologies in healthcare has revolutionized the traditional system, but also raised security and privacy concerns that need to be properly explored. This study extensively investigates the security and privacy issues of e-health systems, including a comprehensive review and analysis of various components. Particularly, the focus is on edge and fog computing studies for e-health security and privacy, which have not been thoroughly analyzed in other survey papers.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Construction & Building Technology
Senthil Murugan Nagarajan et al.
Summary: In this study, a novel method integrating IoT and deep learning concepts for remote health monitoring and data analysis is proposed, which accumulates real-time healthcare data through cloud network architecture and analyzes it using deep learning algorithm on a medical platform. The proposed framework not only analyzes healthcare data but also provides immediate relief measures for patients in critical conditions.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Review
Computer Science, Information Systems
Imed Ben Dhaou et al.
Summary: The health sector is undergoing a significant paradigm shift, with wearable devices playing a crucial role in the Internet of Medical Things, focusing on technologies such as biological sensors, low-power processors, and communication technologies. Energy harvesting techniques have been proposed to enhance the usability and operating time of wearable devices.
Article
Computer Science, Information Systems
Anish Poonia et al.
Summary: This paper introduces a Cloud-fog-dew based mOnitoriNg Framework foR cOvid-19 maNagemenT (CONFRONT) which aids in preliminary diagnosis and monitoring of patients. The fog architecture is designed for real-time scenarios with low bandwidth requirements, while cloud servers and wearable devices are essential components for the framework.
INTERNET OF THINGS
(2021)
Article
Computer Science, Information Systems
Le Sun et al.
Summary: The combination of fog computing and ehealth applications for disease prediction faces unresolved issues, a fog-based framework called FogMed is proposed to address these issues. Comprehensive experiments on a public ECG dataset validate FogMed's performance, showing better time efficiency than cloud computing models in processing tasks of different complexities.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Health Care Sciences & Services
Ankush Manocha et al.
JOURNAL OF MEDICAL SYSTEMS
(2020)
Article
Computer Science, Hardware & Architecture
Ankush Manocha et al.
Article
Computer Science, Cybernetics
Chao Fu et al.
Review
Engineering, Multidisciplinary
Mina Younan et al.
Article
Computer Science, Hardware & Architecture
Bahar Farahani et al.
MICROPROCESSORS AND MICROSYSTEMS
(2020)
Article
Computer Science, Information Systems
Fei Gu et al.
PEER-TO-PEER NETWORKING AND APPLICATIONS
(2020)
Article
Computer Science, Information Systems
Ghazaleh Javadzadeh et al.
Review
Chemistry, Analytical
Pedro H. Vilela et al.
Review
Chemistry, Analytical
Rocio Perez de Prado et al.
Review
Chemistry, Analytical
Felipe S. Dantas Silva et al.
Article
Computer Science, Artificial Intelligence
Luca Greco et al.
PATTERN RECOGNITION LETTERS
(2020)
Review
Computer Science, Information Systems
Ali Behmanesh et al.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2020)
Article
Computer Science, Hardware & Architecture
Munish Bhatia
MICROPROCESSORS AND MICROSYSTEMS
(2020)
Article
Computer Science, Information Systems
Muhammad Ijaz et al.
Article
Computer Science, Information Systems
Banu Calis Uslu et al.
JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS
(2020)
Article
Computer Science, Artificial Intelligence
C. S. R. Prabhu et al.
MALAYSIAN JOURNAL OF COMPUTER SCIENCE
(2020)
Review
Computer Science, Information Systems
Elarbi Badidi et al.
Review
Medical Informatics
Humberto Jorge de Moura Costa et al.
HEALTH AND TECHNOLOGY
(2020)
Review
Telecommunications
Jasleen Kaur et al.
INTERNATIONAL JOURNAL OF WIRELESS INFORMATION NETWORKS
(2020)
Review
Computer Science, Interdisciplinary Applications
Giuseppe Aceto et al.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2020)
Article
Computer Science, Interdisciplinary Applications
Muath A. Obaidat et al.
Review
Engineering, Electrical & Electronic
Ramanpreet Kaur et al.
RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING
(2020)
Article
Telecommunications
Sharu Bansal et al.
INTERNATIONAL JOURNAL OF WIRELESS INFORMATION NETWORKS
(2020)
Article
Computer Science, Hardware & Architecture
Munish Bhatia et al.
MOBILE NETWORKS & APPLICATIONS
(2019)
Article
Chemistry, Analytical
Guto Leoni Santos et al.
Article
Psychology, Multidisciplinary
V. Vijayakumar et al.
COMPUTERS IN HUMAN BEHAVIOR
(2019)
Article
Computer Science, Artificial Intelligence
Alessandro Scire et al.
Article
Computer Science, Theory & Methods
Ximeng Liu et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2018)
Article
Computer Science, Hardware & Architecture
A. Bagula et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2018)
Article
Telecommunications
Sandeep K. Sood et al.
WIRELESS PERSONAL COMMUNICATIONS
(2018)
Article
Chemistry, Analytical
Joan Navarro et al.
Article
Computer Science, Information Systems
David S. Linthicum
IEEE CLOUD COMPUTING
(2017)
Article
Computer Science, Information Systems
Ala Al-Fuqaha et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2015)
