The physical environment is becoming more and more saturated with computing and
communication entities that interact among themselves, as well as with users: virtually …

Accurate and fine-grained prediction of future user location and geographical profile has
interesting and promising applications including targeted content service, advertisement …

Mobile devices cannot rely on a single managed network, but must exploit a wide variety of
connectivity options as they travel. We argue that such systems must consider the derivative …

In this paper, we present an Internet of Things (IoT)-based health care system
implementation scheme using Hidden Markov Model (HMM) chain and ElectroCardioGram …

Location is an important feature for many applications, and wireless networks may serve
their clients better by anticipating client mobility. As a result, many location predictors have …

With the proliferation of WiFi technology, many WiFi networks are accessible from vehicles
on the road making vehicular WiFi access realistic. However, several challenges exist: long …

Real-time communication (RTC) applications such as VoIP, video conferencing, and online
gaming are flourishing. To adapt and deliver good performance, these applications require …

Human mobility behavior is far from random, and its indicators follow non-Gaussian
distributions. Predicting human mobility has the potential to enhance location-based …

Disruption Tolerant Networks rely on intermittent contacts between mobile nodes to deliver
packets using store-carry-and-forward paradigm. The key to improving performance in DTNs …

A mobility model is an essential requirement in accurately predicting an individual's future
location. While extensive studies have been conducted to predict human mobility, previous …