Vehicle clustering is a crucial network management task for vehicular networks to address
the broadcast storm problem and to cope with the rapidly changing network topology …

Knowing a user's next cell allows more efficient resource allocation and enables new
location-aware services. To anticipate the cell a user will hand-over to, we introduce a new …

Discrete sequence modeling and prediction is an important goal and a challenge for
pervasive computing. Mobile clients' data request forecasting and location tracking in …

Vehicular networking is an emerging technology that offers the potential of providing a
variety of new services. However, extending vehicular networks to include internet protocol …

Mobile context-aware applications are capable of predicting the context of the user in order
to operate pro-actively and provide advanced services. We propose an efficient spatial …

We propose a novel mobility model, named Semi-Markov Smooth (SMS) model, to
characterize the smooth movement of mobile users in accordance with the physical law of …

In this paper, we utilize admission control algorithms designed for revenue optimization with
QoS guarantees to derive optimal pricing of multiple service classes in wireless cellular …

We propose and analyze call admission control algorithms integrated with pricing for
revenue optimization with QoS guarantees to serve multiple service classes in mobile …

Context-awareness is viewed as one of the most important aspects in the emerging
ubiquitous computing paradigm. However, mobile applications are required to operate in …

The popularity and development of wireless devices has led to a demand for widespread
high-speed Internet access, including access for vehicles and other modes of high-speed …