IIoT System Structure

The structure of an Industrial Internet of Things (IIoT) system typically consists of several key components that work together to enable the integration and connectivity of devices, sensors, and systems in an industrial environment. Devices and Sensors: IIoT systems involve

Intelligent Management System of DTs-based Power IoT Engine

The intelligent management system of a DTs-based power IoT engine is a sophisticated software platform that enables efficient monitoring, control, and optimization of power systems using Internet of Things (IoT) technologies. The system integrates smart devices, sensors, and data analytics

Application Classification of IoT System

IoT systems can be classified into several application categories based on their specific use cases. Here are some common classifications: Consumer Applications: These applications target individual consumers and focus on enhancing daily life experiences. Examples include smart homes, wearable devices,

Application of Internet of Things in the Creation of Intelligent Services and Environments

The practical application of the Internet of Things (IoT) in the creation of intelligent services and environments is revolutionizing various industries and sectors. Here are some key examples: Smart Homes: IoT devices and sensors enable the creation of intelligent homes

Design Requirements of Human-Centric Internet of Things (IoT)

Designing a human-centric Internet of Things (IoT) involves considering the needs, preferences, and well-being of individuals who interact with IoT devices and systems. The design requirements for a human-centric IoT can be summarized as follows: User-Centric Approach: The IoT systems

Architecture for smart city deployment framework

A robust architecture is critical for the successful deployment of a smart city framework. The architecture should provide a scalable, flexible, and secure foundation to support the diverse range of technologies and services in a smart city ecosystem. At its

Integration and Exploitation of Sensor Data in Smart Cities through Event-Driven Applications

Integration and exploitation of sensor data in smart cities through event-driven applications play a crucial role in enabling efficient and sustainable urban environments. In this context, we acknowledge the significance of integrating diverse sensor data sources and leveraging event-driven applications

Comparison b/w: Edge Cloud, Cloud Computing & Edge Computing

Edge cloud, cloud computing, and edge computing are distinct models with different strengths and use cases. Cloud computing refers to the delivery of computing resources, such as storage and processing power, over the internet. It centralizes data and applications in