Effectively monitoring urban air quality, and analyzing the source terms of the main
atmospheric pollutants is important for public authorities to take air quality management …

Conventional data collection methods that use Wireless Sensor Networks (WSNs) suffer
from disadvantages such as deployment location limitation, geographical distance, as well …

The automatic generation of street networks is attracting the attention of research and
industry communities in areas such as routable map generation. This paper presents a …

Mobile CrowdSensing (MCS) is a promising paradigm that recruits users to cooperatively
perform various sensing tasks. In most realistic scenarios, users dynamically participate in …

Sparse mobile crowdsensing is a practical paradigm for large sensing systems, which
recruits a small number of users to sense data from only a few subareas and, then, infers the …

The adoption of smart device technologies is steadily increasing. Most of the smart devices
in use today have built-in sensors which measure motion, direction, and various …

Every time an Internet of Things (IoT) solution is deployed, every time a smartphone owner
connects her/his wireless device to a wearable activity-tracker, every time groups of citizens …

The Internet of Things (IoT) and mobile techniques enable real-time sensing for urban
computing systems. By recruiting only a small number of users to sense data from selected …

The Mobile Crowd-sensing Network is a novel cyber–physical–social network which has
received great attention recently and can be used as a powerful tool to monitor the …

Mapping with surveying equipment is a time-consuming and cost-intensive procedure that
makes the frequent map updating unaffordable. In the last few years, much research has …