The Internet of Things for Applications in Wearable Technology

Rahmani, Amir Masoud; Szu-Han, Wang; Yu-Hsuan, Kang; Haghparast, Majid

doi:10.1109/access.2022.3224487

Cited by 16 publications

(10 citation statements)

References 54 publications

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“…In the realm of algorithmic solutions for IoT applications [14], SPARS stands out, particularly in its application to healthcare monitoring devices. A key feature of SPARS is its adaptive thresholding mechanism, which is exceptionally well-suited for managing the inherently dynamic nature of biological signals.…”

Section: A Healthcare: Wearable Health Monitoring Devicesmentioning

confidence: 99%

Optimized Compressed Sensing for IoT: Advanced Algorithms for Efficient Sparse Signal Reconstruction in Edge Devices

Gambheer,

Bhat

2024

IEEE Access

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In the rapidly advancing field of the Internet of Things (IoT), the capability to process data in real-time within edge devices that have limited computational and energy resources remains a significant challenge. Traditional methods of data acquisition and processing often fail to meet these demands, leading to inefficiencies and compromised data integrity. Addressing this critical gap, our paper introduces three innovative compressed sensing algorithms specifically designed for IoT applications: Structured Random Compressed Sampling Matching Pursuit (SRCoSaMP), Sparse Adaptive Reconstruction Scheme (SPARS), and Real Time Sparse IoT (RTSI). These algorithms are specially designed to process data quickly and effectively, despite the limited resources available on edge devices. We delve into the intricate design and mathematical foundations of each algorithm, emphasizing their adaptability, real-time processing capabilities, and energy efficiency. Empirical evaluations demonstrate their superior performance in terms of real-time data processing efficiency, recovery accuracy, and computational resource management. The findings of our research mark a significant step forward in the domain of IoT data processing, offering robust solutions that ensure data integrity with minimal data samples.

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Section: A Healthcare: Wearable Health Monitoring Devicesmentioning

confidence: 99%

Optimized Compressed Sensing for IoT: Advanced Algorithms for Efficient Sparse Signal Reconstruction in Edge Devices

Gambheer,

Bhat

2024

IEEE Access

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“…These devices can track various metrics such as heart rate, steps taken and calories burned. This data can be used to enhance the user's fitness and overall health (Rahmani et al, 2022;Bello and Figetakis, 2023).…”

Section: Wearable Devicesmentioning

confidence: 99%

A Comprehensive Survey on Applications, Challenges, Threats and Solutions in IoT Environment and Architecture

Waheed,

Hanif,

Hafeez

et al. 2024

Journal of Computer Science

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The influence of the Internet of Things (IoT) on how people live, interact and conduct business has rapidly increased. Integrating physical objects with electronic networking, or the Internet of Things (IoT), allows for better communication and environment detection. In coming years, higher service levels will be offered by IoT-based technologies, remarkably changing how people would conduct their daily lives. Currently, the number "things" (physical items) connected to the internet exceeds 9 billion. This number is expected quickly to reach around 20 billion. IoT applications in everyday life include smart wearables, smart health monitoring, traffic monitoring, IoT in agriculture with many sensors, smart devices, robots in hospitals, smart grid and water supply and so on. It can help make mobile phone control over homes and cities more intelligent. It provides personal protection as well as improved security. We save a great deal of time by automating tasks. Even when we are far from where we actually are, we can still conveniently get information because it is constantly updated. The internet of things truly has many applications, particularly when paired with other technologies like artificial intelligence and machine learning. This is especially true since it is now possible to put sensors in almost any item, resulting in the creation of a linked internet of things network. This is made possible by the dropping costs of hardware. IoT has numerous uses in supply chain management, manufacturing, smart energy production and wildlife conservation, among other areas. Perhaps, in the end, this growing number of IoT applications will result in a smart planet. Nonetheless, these technologies' security flaws still cause problems for IoT-based data transmission. IoT inherits the common security problems associated with traditional networks because it is made up of a collection of networks and computing devices. IoT devices have also been vulnerable to other forms of exploitation and cyberattacks. This is because an environment with limited resources makes it difficult to adopt advanced cybersecurity safeguards. Hence, it is imperative to safeguard the entire internet of things architecture from potential vulnerabilities that could jeopardize the confidentiality, privacy and general integrity of the system. Lightweight security solutions are needed since IoT devices have limited resources and the traditional security processes are burdensome. Implementing security measures such as secure authentication, encryption and software upgrades is vital to addressing issues and making sure IoT systems and devices are operating safely and securely. IoT is an area where a lot of work is being done in terms of security and threats. Surveys on IoT security and risks currently available only focus on one aspect of security in IoT at a time. No survey addresses security risks in the architecture and ecosystem of the internet of things along with potential solutions. This survey gives a thorough analysis that addresses potential strate...

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“…The G-IoT focuses primarily on the energy efficiency and the reliability of the IoT concepts to eradicate the greenhouse effect [2]. Previous researchers Balusamy et al, [3], Kumar et l., [4], Sodhro et al, [5], Kumar et al, [6] and Rahmani et al, [7] aimed to synergize human, data, processes, organizations, services and facilities together in exceptional ways. Thus, to attain the target of sustainable development, plans are being developed locally and internationally keeping in mind the environmental, social and economic aspects to propose for Green Internet of Things (G-IoT) [8].…”

Section: Related Work 21 Green Internet Of Things (G-iot)mentioning

confidence: 99%

Embedding Bluetooth into green IoT for a sustainable smart living

Manaf,

Na’aim

2024

E3S Web of Conf.

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The development of the Internet of Things and their integration in smart cities have changed the way society work and live. Green IoT evolves around by designing, leveraging and enabling technology to support and achieve sustainable development. Hence, this study highlights on greening IoT towards a sustainable smart living. Main aim is to embed Bluetooth into Green IoT controlled device. This project in this study is named as Green IoT Bluetooth Hotmeal Container (GIoT-BHMC) which satisfies energy saving, cost effectivity, supports smart industries and smart living. The idea is reheating food using Bluetooth technology and rechargeable AA batteries installed in a food container yet rejecting the use of electricity. Reheat process is controlled by mobile application developed in an android environment. Four phases allocated for this study consisting of planning for design, development of device with Bluetooth technology, integration and testing phase and finally the implementation phase. User acceptance test was conducted too to ensure study findings meet users’ requirements. Study contributes to energy efficiency, sustainability on smart living and green metrics. To-date, GIoT plays crucial role in making a better-off citizen. In specific, efficient resource utilization, sustainability, reducing energy consumption, pollution, and e-waste are the main idea of greening the technology. This study is a practical insight towards eco-friendly and sustainable city based on emerging GIoT technologies.

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The Internet of Things for Applications in Wearable Technology

Cited by 16 publications

References 54 publications

Optimized Compressed Sensing for IoT: Advanced Algorithms for Efficient Sparse Signal Reconstruction in Edge Devices

Optimized Compressed Sensing for IoT: Advanced Algorithms for Efficient Sparse Signal Reconstruction in Edge Devices

A Comprehensive Survey on Applications, Challenges, Threats and Solutions in IoT Environment and Architecture

Embedding Bluetooth into green IoT for a sustainable smart living

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