Rapid improvements in the precision of mobile technologies now make it possible for
advertisers to go beyond real-time static location and contextual information on consumers …

The potential of crowdsourcing for complex problem solving has been revealed by
smartphones. Nowadays, vehicles have also been increasingly adopted as participants in …

Indoor map is a fundamental element of indoor location-based services (ILBS). However,
traditional indoor mapping techniques are labor-intensive and time-consuming. The …

This paper proposes to learn the graph of accessible indoor routes by crowd-sourcing
inertial sensor data from mobile phones. The inertial sensor data collected by each phone is …

In the past decade, research in Internet of Things and related technologies such as
Ubiquitous Computing has fueled the development of Smart Spaces. Smart space does not …

Mobile crowd sensing (MCS) is a new paradigm for urban-scale monitoring. This article
concentrates on the Cost-Fair Task Allocation (CFA) problem for the MCS scenario where …

Mobile crowd sensing is an innovative paradigm which leverages the crowd, ie, a large
group of people with their mobile devices, to sense various information in the physical world …

Inferring the quality of service experienced by wireless users is challenging, as network
monitoring does not capture the service perception for each user individually. In this paper …

With the development of sensing technology, smartphones can provide various kinds of
data, including inertial sensing data, WiFi data, depth data, and images. These data make it …

Existing Location-based social networks (LBSNs), eg, Foursquare, depend mainly on GPS
or cellular-based localization to infer users' locations. However, GPS is unavailable indoors …