The accurate estimation of the dynamic changes in population is a key component in effective urban planning and emergency management. We developed a model to estimate hourly dynamic changes in population at the community level based on subway smart card data. The hourly population of each community in six central districts of Beijing was calculated, followed by a study of the spatiotemporal pat...

In this paper, we present recent work carried on μK, a core calculus that retains most of the features of K: explicit process distribution, remote operations, process mobility and asynchronous communication via distributed tuple spaces. Communication in μK is based on a simple form of pattern matching that enables withdrawal from shared data spaces of matching tuples and binds the m...

We present a selective neighbor caching approach for supporting mobility in publish/subscribe networks. According to the approach, a mobile’s subscriptions are transmitted to a subset of brokers that are neighbors of the current broker that the mobile is connected to. Our key contribution is the definition of a target cost function and an intelligent procedure for selecting the subset of neighb...

Base IP mobility presents performance limitations when the mobile host increases its handoff rate between successive wireless points of attachment as a result of its mobility pattern. These limitations are augmented when latency externalities such as the round trip time between the MN and its peers, add to the total of latency and signalling overhead, impeding the performance of the mobility fu...

Being able to understand dynamics of human mobility is essential for urban planning and transportation management. Besides geographic space, in this paper, we characterize mobility in a profilebased space (activity-aware map) that describes most probable activity associated with a specific area of space. This, in turn, allows us to capture the individual daily activity pattern and analyze the c...

Smart environments are subject to intensive academic and industrial research. Many of these research projects deal with challenges such as heterogeneity, personalization and context-awareness. However, most of them assume smart environments to be insular places. Considering users visiting different environments in daily life, this assumption becomes unrealistic. Mobile users wish to use persona...

Standard IP mobility management (IP-MM) commonly known as Mobile IP, presents a set of technical challenges in performance and scalability, as the mobile host (MN) varies the handoff rate, due to its mobility pattern, between successive wireless points of attachment; these manifest themselves primarily as increased signalling between the MN and its peers. In addition, they encompass sources of ...

This paper presents methods to predict the location and dwell time of cell-phone users using a longitudinal study that captures communication, proximity, location, and activity information of the subjects. We have performed three major tasks in this report as follows: the preprocessing in which the raw data was prepared for the next tasks. Location and dwell time prediction using quantized time...