Article
Computer Science, Information Systems
Huifeng Wu, Yi Yan, Baiping Chen, Feng Hou, Danfeng Sun
Summary: This article introduces an ontology and a three-layer cloud-fog-edge architecture (FADA) for large and complex machines to address issues such as data quality and data extraction. Experimental results prove the feasibility and performance advantages of FADA in different scenarios.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Computer Science, Theory & Methods
Kinza Sarwar, Sira Yongchareon, Jian Yu, Saeed Ur Rehman
Summary: Despite the challenges in adopting IoT due to data privacy concerns, the introduction of fog computing can address some of the issues and provide improvements for preserving data privacy in IoT applications. Future research directions in this area are also discussed.
ACM COMPUTING SURVEYS
(2023)
Article
Computer Science, Information Systems
Ravi Yadav, Gaurav Baranwal
Summary: This work proposes a responsibility-based trust revision model, ReTREM, for determining and monitoring the trustworthiness of fog nodes in order to ensure the security of IoT applications. The model categorizes fog nodes based on their response to violations of promised service quality and proposes separate penalty mechanisms for each category to discourage malicious behavior. By revising trust scores through various penalty mechanisms, the model incentivizes fog nodes to provide the best service and increases user trust.
COMPUTER COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Tariq Ahamed Ahanger, Munish Bhatia, Abdullah Aljumah
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, Theory & Methods
Kanika Saini, Sheetal Kalra, Sandeep K. Sood
Summary: In this study, an intelligent evacuation system is proposed that integrates IoT, fog layer, and cloud layer to efficiently and accurately guide evacuees to safer locations while significantly reducing direct fire exposure.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Article
Computer Science, Hardware & Architecture
Maryam Songhorabadi, Morteza Rahimi, AmirMehdi MoghadamFarid, Mostafa Haghi Kashani
Summary: The development of smart cities heavily relies on advanced computing paradigms, such as fog computing, to address the requirements of location-aware, latency-sensitive, and security-crucial applications. However, the frequently used cloud-based approaches in smart cities restrict the security, time-sensitive services, flexibility, and reliability. This paper proposes a study to explore the state-of-the-art fog-based approaches in smart cities and presents a classification of these approaches into service-based, resource-based, and application-based classes.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Marc Jayson Baucas, Petros Spachos, Konstantinos N. Plataniotis
Summary: The number of embedded devices connecting to wireless networks has increased, leading to the need for secure fog-based IoT networks. This study proposes a platform that uses public-key encryption and permissioned blockchains to protect network endpoints and track encryption processes, ultimately fortifying the network against malicious attacks.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Chemistry, Analytical
Chenbin Huang, Hui Wang, Lingguo Zeng, Ting Li
Summary: Delay-sensitive tasks are becoming more prominent in the Internet of Things (IoT), and finding ways to complete these tasks with minimum energy consumption has become a popular research topic. In this study, we propose a heuristic particle swarm optimization algorithm (LPSO) based on a Lyapunov framework, which effectively balances the energy consumption of IoT nodes, transmission, and fog node computing, leading to improved task completion efficiency compared to original PSO and greedy algorithms.
Review
Computer Science, Interdisciplinary Applications
Rohit Kumar, Neha Agrawal
Summary: Cloud computing is transforming traditional computing methods through various forms and architectural types, such as Edge and Fog computing. These extensions of the basic cloud computing model promise improved network performance. Industrial applications rely on cloud resources to process a large volume of power-sensitive Industrial IoT (IIoT) data, which requires careful analysis to enhance system performance. This paper explores the Edge-Fog-Cloud architectural frameworks, compares their advantages and disadvantages, and delves into the scientific side of multi-dimensional IIoT data. It also highlights the current state-of-the-art and implementation challenges.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2023)
Article
Computer Science, Information Systems
Wanli Yu, Ardalan Najafi, Yanqiu Huang, Alberto Garcia-Ortiz
Summary: The study aimed to address the gap of task allocation approaches that do not consider approximate computing, proposing a method that simultaneously considers approximate computing and task allocation to maximize network lifetime. By allocating tasks and selecting execution modes, a centralized and distributed algorithm were proposed to solve the problem for resource-limited IoT devices, with the distributed algorithm achieving comparable results to the centralized one and outperforming previous approaches.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Gaurav Baranwal, Deo Prakash Vidyarthi
Summary: This study focuses on the selection problem of Fog Orchestrator Nodes (FONs) in fog computing, proposing a decentralized approach to improve system performance and avoid single point failures. By selecting the most suitable fog node as the orchestrator node, the effectiveness of application deployment can be significantly enhanced.
JOURNAL OF SUPERCOMPUTING
(2021)
Article
Chemistry, Analytical
Xavi Masip-Bruin, Eva Marin-Tordera, Sergi Sanchez-Lopez, Jordi Garcia, Admela Jukan, Ana Juan Ferrer, Anna Queralt, Antonio Salis, Andrea Bartoli, Matija Cankar, Cristovao Cordeiro, Jens Jensen, John Kennedy
Summary: The cloud continuum, formed by the combination of fog computing, edge computing, and cloud computing, requires novel management strategies to coordinate and efficiently manage resources from the edge to the cloud. This management framework design poses various research challenges and has spurred many global initiatives.
Article
Computer Science, Information Systems
Ernando Batista, Gustavo Figueiredo, Cassio Prazeres
Summary: The Internet of Things enables the coordination and orchestration of numerous physical and virtual objects connected to the Internet. This paper proposes a solution for load balancing in IoT applications using Software-Defined Networks. It addresses the challenges posed by unstable network infrastructure and processing overload on IoT devices.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Mehedi Masud, Gurjot Singh Gaba, Pardeep Kumar, Andrei Gurtov
Summary: Ambient Intelligence (AmI) in Internet of Things (IoT) has enabled remote monitoring, diagnosis, and treatment in healthcare, improving patient engagement and satisfaction. However, current healthcare applications face security and resource efficiency challenges. This paper presents a computationally-inexpensive privacy-assuring authentication protocol for AmI-IoT healthcare applications, utilizing blockchain and fog computing to ensure security and efficiency.
COMPUTER COMMUNICATIONS
(2022)
Review
Chemistry, Analytical
Sima Abolhassani Khajeh, Morteza Saberikamarposhti, Amir Masoud Rahmani
Summary: This article provides a review of real-time scheduling in the Internet of Things (IoT) based on studies published between 2018 and 2022. It presents a classification of IoT applications based on practical use cases and compares them based on indicators such as performance time, energy consumption, makespan, and assessment environments. The article also discusses the main concepts, advantages, disadvantages, and future work of the reviewed studies.
Article
Chemistry, Analytical
Jonathan Kua, Seng W. Loke, Chetan Arora, Niroshinie Fernando, Chathurika Ranaweera
Summary: Recent advancements in technologies such as the Internet of Things, machine learning, and artificial intelligence have opened up new opportunities and challenges in space exploration. The successful Mars landing by NASA's Perseverance rover signifies a significant leap forward in human space exploration, while the potential applications of IoT in space/non-terrestrial environments offer promising benefits for the future.
Article
Chemistry, Analytical
Kanaka Sai Jagarlamudi, Arkady Zaslavsky, Seng W. Loke, Alireza Hassani, Alexey Medvedev
Summary: Satisfying the quality of context requirements is crucial for context management platforms to establish credibility. This survey identifies the limitations in the functionalities and QoC modeling approaches of actors and proposes a new concept system to address these limitations. The recommendations provided can assist CMP developers in delivering adequate QoC.
Article
Chemistry, Analytical
Tan Duy Le, Mengmeng Ge, Adnan Anwar, Seng W. Loke, Razvan Beuran, Robin Doss, Yasuo Tan
Summary: The smart grid is a crucial technology for sustainable development, but it has been increasingly targeted by cyber attacks in recent years. To address this challenge, this paper proposes the use of analytical techniques and simulations to create a practical solution for smart grid cybersecurity experimentation. The paper provides a literature review on smart grid attack analysis and introduces a Cyber Attack Analysis Framework, called GridAttackAnalyzer, which incorporates graphical security modeling techniques. A case study involving IoT devices is conducted to validate the framework, and user evaluations show satisfactory usability. The modular and extensible framework can serve various purposes in smart grid research, cybersecurity training, and security evaluation.
Article
Chemistry, Analytical
Amna Batool, Seng W. Loke, Niroshinie Fernando, Jonathan Kua
Summary: This paper proposes a methodology for making smart devices more human-centered by embedding ethical concepts and mapping them with socio-ethical policies. The methodology has been applied to various settings and devices, including robots, smart cameras, and smart speakers, resulting in significant improvement in their behavior towards human-centricity and adherence to ethical policies.
Editorial Material
Computer Science, Artificial Intelligence
Seng W. Loke
Article
Engineering, Civil
Guang-Li Huang, Arkady Zaslavsky, Seng W. Loke, Amin Abkenar, Alexey Medvedev, Alireza Hassani
Summary: Context awareness enhances data for applications and enables algorithms to sense changes in data streams. Context-aware machine learning is used in intelligent services and has been successful in intelligent transportation systems. This paper reviews recent studies in context-aware machine learning for transportation, discussing contextual data, applications, learning methods, and proposing a context-aware machine learning architecture for addressing existing gaps.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Telecommunications
Jurairat Phuttharak, Seng W. Loke
Summary: Currently, many governments are preparing to promote smart city development in their countries. Smart cities use various sensors to collect data and efficiently manage assets and resources. However, existing platforms mainly focus on data management and analysis, rather than integrating services and responding to events in real-time. In this study, we propose an event-based architecture that meets the important requirements of smart city platforms, such as scalability and flexibility in event processing. We also implement this architecture and discuss the effectiveness of a Smart Event-based Middleware (SEMi) through empirical evaluation.
JOURNAL OF SENSOR AND ACTUATOR NETWORKS
(2023)
Article
Remote Sensing
Mahyar Nemati, Bassel Al Homssi, Sivaram Krishnan, Jihong Park, Seng W. Loke, Jinho Choi
Summary: This paper discusses the significance and applications of UAV networks in non-terrestrial networks (NTNs), particularly focusing on the existing and emerging uses of flying ad hoc networks (FANET) composed of UAVs. It also examines various routing protocols based on cross-layer modeling and highlights the importance of viewing UAV networks as delay-tolerant networks (DTN) due to the intermittent connectivity in low-density FANETs.
Review
Biology
Sara Sardari, Sara Sharifzadeh, Alireza Daneshkhah, Bahareh Nakisa, Seng W. Loke, Vasile Palade, Michael J. Duncan
Summary: Performing prescribed physical exercises plays a crucial role in rehabilitation for people with physical disabilities. However, without medical experts, patients cannot assess their performance accurately. Vision-based sensors and advancements in computer vision and deep learning have enabled the development of automatic activity monitoring models to assist patients and physiotherapists. This paper provides an up-to-date review on skeleton data acquisition processes and AI-based methodologies for rehabilitation monitoring, highlighting the challenges and suggesting future research directions.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Automation & Control Systems
Reza Bairam Zadeh, Arkady Zaslavsky, Seng W. Loke, Somaiyeh MahmoudZadeh
Summary: This paper proposes a multi-agent Mission Coordinating Architecture (MCA) for continuous situational awareness (SA) in bushfires using Unmanned Aerial Vehicles (UAVs). The architecture provides parallel mission plans for UAVs, avoids mission overlap and duplicate information, and enhances cooperation and flight time optimization through a synchronized communication framework. Simulation results demonstrate the effectiveness of MCA in enhancing UAVs' exploration capability and achieving comprehensive monitoring of affected areas.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Review
Chemistry, Analytical
Iynkaran Natgunanathan, Niroshinie Fernando, Seng W. W. Loke, Charitha Weerasuriya
Summary: With the increasing popularity of IoT applications, the need for smart, connected devices to communicate under different requirements such as range, cost, user interaction, mobility, and energy constraints is crucial. Wireless technologies that can meet these requirements will be essential in seizing opportunities in the emerging IoT market. Bluetooth Mesh is a promising wireless protocol that expands the capabilities of Bluetooth low energy (BLE) and enables reliable and scalable IoT systems with thousands of interconnected devices. This article provides a comprehensive discussion on current research directions and use cases for Bluetooth Mesh, alongside best practice recommendations for researchers and practitioners to effectively utilize Bluetooth Mesh in IoT scenarios.
Article
Chemistry, Analytical
Shakthi Weerasinghe, Arkady Zaslavsky, Seng Wai Loke, Alireza Hassani, Alexey Medvedev, Amin Abken
Summary: This paper proposes an adaptive context caching mechanism (ACOCA) based on performance metrics, which maximizes the benefits of context management platforms (CMPs) in terms of real-time performance and cost efficiency. The mechanism includes a novel, scalable, and selective context-caching agent implemented using the twin delayed deep deterministic policy gradient method, and covers the entire context management lifecycle. The results show that ACOCA achieves higher cost and performance efficiency compared to traditional data caching policies.
Article
Chemistry, Analytical
Alexey Medvedev, Alireza Hassani, Gleb Belov, Shakthi Weerasinghe, Guang-Li Huang, Arkady Zaslavsky, Seng W. Loke, Prem Prakash Jayaraman
Summary: This paper discusses the research direction and significance of Context Management Platforms (CMPs) in the Internet of Things (IoT), and proposes a caching and prefetching strategy based on Service Level Agreements (SLAs) to minimize context management costs. The paper also introduces mathematical models and experimental validation results.
Proceedings Paper
Computer Science, Information Systems
Kanaka Sai Jagarlamudi, Arkady Zaslavsky, Seng W. Loke, Alireza Hassani, Alexey Medvedev
Summary: This paper presents a framework called conQeng that addresses the challenge of obtaining adequate Quality of Context (QoC) from context providers. The results demonstrate that it outperforms other methods in reducing context acquisition cost and improving effectiveness and performance efficiency while obtaining adequate QoC.
INTERNET OF THINGS, GIOTS 2022
(2022)
Article
Computer Science, Information Systems
Jinho Choi, Seng W. W. Loke, Jihong Park
Summary: In this paper, we propose a unified approach to semantic information and communication through the interplay between technical communication (TC) and semantic communication (SC), by leveraging probabilistic logic (ProbLog). We introduce a SC layer that uses logically described knowledge bases for the exchange of semantic information. Various measures are proposed to enable efficient interactions between the SC and TC layers, including entropy-based measurements to address technical problems in SC. Several examples demonstrate the interaction between the SC and TC layers, considering constraints and efficiently utilizing channel resources.
