One of the most interesting applications of mobile sensing is monitoring of individual
behavior, especially in the area of mental health care. Most existing systems require an …

With the emergence of smartphones and location-based services, user mobility prediction
has become a critical enabler for a wide range of applications, like location-based …

Horizontal and vertical handoffs are important ramifications of user mobility in multitier
heterogeneous wireless networks. They directly impact the signaling overhead and quality …

Employing mobile devices to perform data analytics is a typical fog computing application
that utilizes the intelligence at the edge of networks. Such an application relies on the …

A large plethora of models to predict human mobility exists in the literature. The problem of
how to select the most appropriate model to solve a specific mobility prediction task has …

Recently, heterogeneous networks with small cells have been widely used to increase the
capacity of mobile systems. In such environments, accurate estimation of the mean cell …

Sojourn time is an important parameter in the analysis and design of mobile cellular
networks. It shows the expected time that a user equipment (UE) remains connected to the …

Quick responses to user actions are instrumental to the success of mobile applications. To
ensure such responsiveness, applications often prefetch data objects before the user …

Urban Mobility Models (UMMs) are fundamental tools for estimating the population in urban
sites and their spatial movements over time. They have great value for such applications as …

Today's ubiquitous presence of sensors provides a large amount of data which can be
analyzed to study human behavior. The last few years saw the birth and diffusion of a new …