Article
Computer Science, Information Systems
Gaofei Sun, Xiaoshuang Xing, Zhenjiang Qian, Wei (Lisa) Li
Summary: The paper discusses the allocation of computation loads between IoT devices and edge computing servers to balance energy efficiency and data privacy. By analyzing the direct transmission and relay transmission scenarios, corresponding optimization algorithms are introduced.
COMPUTER COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Jing Huey Khor, Michail Sidorov, Ming Tze Ong, Shen Yik Chua
Summary: This article proposes a data protection protocol that ensures data integrity, reduces transaction fees, and prolongs battery life for IoT devices used with public blockchain networks. It presents a proof of concept using an ESP32S2 device to evaluate the performance of the proposed data storage protocol. The evaluation results demonstrate that data integrity can be achieved for low-power sensor nodes connecting to public blockchains via Wi-Fi network.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Samer Sawalha, Ghazi Al-Naymat
Summary: The importance of Internet of things (IoT) technology is increasing yearly, but it also faces challenges, particularly in data management. To address these challenges, a new data processing architecture is proposed, which optimizes data analysis performance and storage efficiency through lossless compression and data grouping.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Zhihan Lv, Ranran Lou, Jinhua Li, Amit Kumar Singh, Houbing Song
Summary: The research aims to improve the data analysis efficiency and access performance of large-scale IoT devices through big data analysis technology, and enhance system performance through node priorities and local data utilization. In addition, 6G technology and interference thresholds have a significant impact on the energy efficiency of data transmission.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Review
Materials Science, Multidisciplinary
Md Nazibul Hasan, Marwan Nafea, Nafarizal Nayan, Mohamed Sultan Mohamed Ali
Summary: Thermoelectric generators have emerged as potential candidates for harvesting energy from temperature gradients to power wearable sensors and devices. Various promising inorganic and organic thermoelectric materials have been explored, showcasing their highest ZT values, along with the introduction of novel thermoelectric generator-powered wearable health monitoring sensors and Internet of Things devices. The current challenges and future perspectives for the development of thermoelectric generators, particularly focusing on efficient materials and self-powered devices, are also discussed.
ADVANCED MATERIALS TECHNOLOGIES
(2022)
Article
Computer Science, Interdisciplinary Applications
Darius Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, U. Rajendra Acharya
Summary: Wearable technologies have brought new and rapidly developing tools to the field of personal devices, with the potential to integrate with artificial intelligence methods. This paper reviews the recent applications of wearable devices that leverage AI to achieve their objectives, including specific examples in domains such as medical, industrial, and sport.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Mathematics, Interdisciplinary Applications
Haiye Qiu, Chang Liu, Xiaomin Zhang
Summary: This article proposes an intelligent system for formulating tennis player training schedules based on complex system big data. By studying the concepts of big data and complex systems, designing an intelligent system to formulate training plans, and analyzing through experiments, significant results have been achieved.
Article
Computer Science, Theory & Methods
Xiaoqing Li, Yu Lu, Xianghua Fu, Yingjian Qi
Summary: In recent years, the industry of wearable devices for pregnancies has been rapidly developing, providing convenience for pregnant women and obstetricians. The popularization of Internet of Things technology has driven the construction of Smart Maternal care, which utilizes technologies such as wearable devices and cloud computing to improve the quality and efficiency of obstetrical medical services.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Automation & Control Systems
Ashish Kumar Tripathi, Kapil Sharma, Manju Bala, Akshi Kumar, Varun G. Menon, Ali Kashif Bashir
Summary: This study introduces a novel clustering method based on metaheuristic and MapReduce to address big data problems. By leveraging the searching potential of military dog squad and utilizing the MapReduce architecture to handle large datasets, the optimization effectiveness is improved. Experimental results demonstrate that the new method outperforms other algorithms in terms of clustering accuracy and computation times.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Green & Sustainable Science & Technology
Shuaishuai Wang
Summary: This paper focuses on energy-saving Internet of Things wearable devices used for monitoring sports training based on energy harvesting. The energy sources involved include radiofrequency energy, mechanical energy, and thermal energy. The power management circuit structure is designed to match its application with energy harvesting components, ensuring that the collected energy meets the power requirements of the electrical equipment. By utilizing modular design for posture measurement unit, positioning unit, and data storage and communication unit, the hardware design of the entire human motion information collection system based on energy-saving IoT wearable devices is completed.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Engineering, Electrical & Electronic
Xinyan Zhou, Jiaqi Pan, Zenan Zhang, Xiaoyu Ji, Haiming Chen
Summary: Verifying the user identity of wearable devices is important for system security, and a promising solution is PPG-based two-factor authentication using widely deployed PPG sensors. This article presents the design of G-PPG, a gesture-related PPG-based authentication mechanism that can validate the user's identity nonintrusively. G-PPG achieves high accuracy through a gesture detection module, specific feature extraction, user-defined security level, and adaptive update scheme, with over 90% accuracy in experimental scenarios.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Information Systems
Prakash Tekchandani, Indranil Pradhan, Ashok Kumar Das, Neeraj Kumar, Youngho Park
Summary: Smart devices in IoT generate big data through sensors, which is used for intelligent applications through machine learning. This requires data collection from devices to central servers for model training, but privacy and bandwidth limitations hinder the efficiency of centralized training. To address this, we propose a hybrid secure federated learning approach with blockchain for local device training and blockchain storage for traceability and immutability. A detailed analysis shows the approach's effectiveness in terms of security, resilience against attacks, and cost efficiency.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Ecology
Timm A. Wild, Martin Wikelski, Stephen Tyndel, Gustavo Alarcon-Nieto, Barbara C. Klump, Lucy M. Aplin, Mirko Meboldt, Hannah J. Williams
Summary: Biologging devices are used to collect ultra-fine-scale movement data on animals, but there are limitations on collecting different types of data simultaneously. This study uses Wi-Fi as a solution, combined with smart software, to improve the efficiency of biologging data retrieval.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Article
Automation & Control Systems
Fadi AL-Turjman, B. D. Deebak
Summary: Technological advancements have enabled the connectivity of Internet devices for data observation and measurement of physical entities, with a focus on transforming raw data into smart data for better decision-making processes and privacy protection. This transformation plays a crucial role in improving user experience and device access.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Multidisciplinary
Yanmin Zhao, Yang You
Summary: A wearable sports posture measurement system is proposed for sports and daily training of athletes in rehabilitation therapy, utilizing Internet of Things technology. The system was verified with common sports postures by a professional coach, showing stable online monitoring capabilities and providing valuable data analysis results for evaluating the physical condition of patients during rehabilitation and athletes' daily training.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
