Abstract: The Internet of Things (IoT) has become the central issue and research focus of the global academic community and industry. Because of the lack of research in the field of IoT and in order to understand the development direction of the IoT in ...

Internet of Things applications have the potential to derive sensitive information about individuals. Therefore, developers must exercise due diligence to make sure that data are managed according to the privacy regulations and data protection laws. ...

In today’s highly connected cyber-physical environments, users are becoming more and more concerned about their privacy and ask for more involvement in the control of their data. However, achieving effective involvement of users requires improving their ...

The introduction of the Internet of Things (IoT) in industry can increase the level of production management, increase the speed of managerial decision-making, and provide higher quality products. The article discusses the use of the Industrial Internet ...

The growing global competition for implementation of the "Industry 4.0" concept prioritizes issues connected with the shift of the national industry to a digital technology platform. The Industrial Internet of Things (IIoT), based on the Internet of ...

The major enabling technologies for creating smart building services are IoT and cognitive computing. While deploying IoT infrastructure during the construction and renovation processes is rather a straightforward practice, the implementation of ...

The concept of Internet of Things (IoT) has changed the way we live by integrating commodity devices with cyberspace to automate our everyday tasks. Nowadays, IoT devices in the home environment are becoming ubiquitous with seamless connectivity and ...

Today's Industrial IoT (IIoT) applications often employ large-scale and dense sensor deployments for environmental monitoring. A hierarchical Bluetooth Low Energy (BLE) based architecture can facilitate power efficiency and reliability for data ...

Modern Internet of Things (IoT) applications, from contextual sensing to voice assistants, rely on ML-based training and serving systems using pre-trained models to render predictions. However, real-world IoT environments are diverse, with rich IoT ...

Communication scenarios between IoT client nodes within an authenticated and authorized regime comprise emerging use cases for modern edge applications in the IoT, but unfortunately are not supported by current management schemes such as LwM2M. In this ...

Internet-of-Things (IoT) applications at the city scale require a reliable and energy-efficient messaging service. In order to save energy consumption at each embedded IoT instrument, thus to prolong the application lifetime, it is best that the service ...

Internet-of-Things (IoT) technology is key for smart-campus applications, and the needed IoT infrastructure must be flexible, fault-tolerant, and power-saving to offer a continuous service for such applications. Among Low-Power Wide-Area Network (LPWAN) ...

Many Deep Neural Network (DNN) based applications have been developed and run on mobile devices. Although these advanced DNN models can provide better results, they also suffer from high computational overhead which means long delay and more energy ...

This work investigates a run-time scheduling system for Bluetooth Low Energy (BLE). The Bluetooth specifications propose control of the anchor point (i.e., start time of each connection event) by changing the WinOffset parameter of the control protocol ...

Various assets and operation-related data in the smart grid have their own time and space attributes. The Beidou Global Positioning System continues to mature and improve its technology. The positioning accuracy has greatly improved. In order to make ...

In the fourth industrial revolution-the green resources revolution, a series of production modes will be changed from natural resources input to green resources input as a feature, and this will be used in various industries. As the most widely used ...

The combination of the Internet of Things and Artificial Intelligence has made it possible to introduce numerous automations in our daily environments. Many new interesting possibilities and opportunities have been enabled, but there are also risks and ...

Working with emergent users in two of Mumbai’s slums, we explored the value and uses of photovoltaic (PV) self-powering digital materials. Through a series of co-design workshops, a diary study and responses by artists and craftspeople, we developed ...

Sound presents an invaluable signal source that enables computing systems to perform daily activity recognition. However, microphones are optimized for human speech and hearing ranges: capturing private content, such as speech, while omitting useful, ...

“Notice and choice” is the predominant approach for data privacy protection today. There is considerable user-centered research on providing effective privacy notices but not enough guidance on designing privacy choices. Recent data privacy regulations ...