Monthly Archives: June 2023

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

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:

Mobile Computing for Smart Cities

Mobile computing plays a pivotal role in the development and advancement of smart cities, enabling connectivity, data collection, and real-time information dissemination. Here are some key aspects of mobile computing in smart cities: Connectivity: Mobile devices, such as smartphones and

Edge Computing Challenges for Smart Cities

Edge computing plays a crucial role in the development and implementation of smart city initiatives. By processing and analyzing data closer to the source, edge computing enables faster response times, reduces network congestion, and enhances data privacy and security. However,

Advantages of Edge Computing for Smart Cities

Edge computing offers several advantages for smart cities, enabling them to overcome the limitations of traditional cloud-centric architectures. Here are some key advantages of edge computing for smart cities: Low Latency and Real-Time Responsiveness: Edge computing brings data processing and