Smartphones have become the most pervasive devices in people's lives and are clearly
transforming the way we live and perceive technology. Today's smartphones benefit from …

Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …

Task allocation is a fundamental research issue in mobile crowd sensing. While earlier
research focused mainly on single tasks, recent studies have started to investigate multi-task …

This paper describes a focused literature survey of self-organizing maps (SOM) in support of
intrusion detection. Specifically, the SOM architecture can be divided into two categories, ie …

Mobile crowdsensing has become a novel and promising paradigm in collecting, analyzing,
and exploiting massive amounts of data. However, the issue of data quality has not been …

Task allocation is a major challenge in Mobile Crowd Sensing (MCS). While previous task
allocation approaches follow either the opportunistic or participatory mode, this paper …

Worker recruitment is a crucial research problem in Mobile Crowd Sensing (MCS). While
previous studies rely on a specified platform with a pre-assumed large user pool, this paper …

Mobile crowdsensing has wide application perspectives and tremendous advantages over
traditional sensor networks due to its low cost, extensive coverage, and high sensing …

Mobile crowdsensing has been a promising and cost-effective sensing paradigm for the
Internet of Things by exploiting the proliferation and prevalence of sensor-rich mobile …

Fine-grained city-scale outdoor air pollution maps provide important environmental
information for both city managers and residents. Installing portable sensors on vehicles (eg …