Cloud-Based IoT Applications and Their Roles in Smart Cities

Enabling Social- and Location-Aware IoT Applications in Smart Cities

In the last decade, governments, municipalities, and industries have invested large amounts of funds on research on smart cities with the main goal of developing services to improve people’s quality of life. Many proposals focus on a Cloud-centric network architecture in which all the data collected from a myriad of sensors devices is transferred to the Cloud for processing. However, this appro...

Processing IoT Data with Cloud Computing for Smart Cities

A smart city requires the intelligent management of infrastructure like the Internet of Things (IoT) devices in order to provide smart services that improve the quality of human life. To obtain the information needed to implement smart city services, stream reasoning is used to intelligently process the big data stream constantly generated from IoT devices. However, there are constraints associ...

A Cloud-Based Car Parking Middleware for IoT-Based Smart Cities: Design and Implementation

This paper presents the generic concept of using cloud-based intelligent car parking services in smart cities as an important application of the Internet of Things (IoT) paradigm. This type of services will become an integral part of a generic IoT operational platform for smart cities due to its pure business-oriented features. A high-level view of the proposed middleware is outlined and the co...

Cloud and IoT based Smart Car Parking System by using Mamdani Fuzzy Inference System (MFIS)

Internet of Things (IoT) and cloud computing technologies have connected the infrastructure of the city to make the context-aware and more intelligent city for utility its major resources. These technologies have much potential to solve thechallenges of urban areas around the globe to facilitate the citizens. A framework model that enables the integration of sensor’s data and analysis of ...

Smart Cities and Their Roles in City Competition: A Classification