Category Archives: IoT
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
User Centric IoT Architecture for Smart Cities
A user-centric IoT architecture for smart cities focuses on providing a seamless and personalized experience to the residents and visitors. This architecture emphasizes the needs and preferences of users, ensuring that IoT systems and services are designed to enhance their
Exploiting Mobile Edge Computing for Enhancing Vehicular Applications in Smart Cities
Mobile Edge Computing (MEC) offers significant benefits for enhancing vehicular applications in smart cities. By bringing computing resources closer to the edge of the network, MEC enables real-time data processing and low-latency communication, which is crucial for efficient and reliable
Mobile Computing Challenges for Smart Cities
Mobile computing plays a crucial role in enabling smart city services and applications. However, it also presents certain challenges that need to be addressed for seamless implementation. Here are some key challenges of mobile computing in smart cities: Network Connectivity:
