Smart Sensing and Mobile Computing

Smart Sensing and Mobile Computing

A Mobile and Fog-based Computing Method to Execute Smart Device Applications in a Secure Environment

With the rapid growth of smart device and Internet of things applications, the volume of communication and data in networks have increased. Due to the network lag and massive demands, centralized and traditional cloud computing architecture are not accountable to the high users' demands and not proper for execution of delay-sensitive and real time applications. To resolve these challenges, we p...

Smart computing for large scale visual data sensing and processing

Smart computing is an emerging multidisciplinary area, aiming to use computing technology to design smart methods, build smart systems, and make human life better. Visual signal plays the most important role in the communication and interaction between human and the surrounding world, while the past decade has witnessed the rapid development of digital imaging and transmission technologies. It ...

Passive Sensing for Context- Aware Mobile Computing

As computing devices and their users become increasingly mobile, the demand for information about the application’s operating environment, or context becomes significantly important. Applications must be able to adapt themselves to changing conditions to satisfy users’ demands and expectations and to ensure that the application’s resource usage matches the environment’s capabilities. In existin...

Mobile Crowd Sensing for Urban Computing

Urban computing aims to improve the quality of life of ordinary citizens by providing sustainable solutions. This paper reviewed how Mobile Crowd Sensing can be used for urban computing. The paper listed the features and advantages of mobile crowd sensing mechanism. It highlighted the challenges involved in mobile crowd sensing. The paper also presented a comprehensive study of Apps used to mon...