Abstract Body Sensor Networks (BSNs) have emerged as a revolutionary technology in
many application domains in health-care, fitness, smart cities, and many other compelling …

Mobile devices equipped with rich sensors, such as smartphones, watches, or vehicles,
have been pervasively used all around the world. Their high penetration and powerful …

Spatial crowdsourcing (SC) is an emerging paradigm of crowdsourcing, which commits
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …

With the powerful sensing capability of mobile smart devices, users can easily obtained the
crowd sensing services with smart devices in the Internet of Things (IoT). However, credible …

This paper presents a group-aware mobile crowd sensing system called MobiGroup, which
supports group activity organization in real-world settings. Acknowledging the complexity …

With the surge of varied crowd sensing systems, active user participation becomes a crucial
factor that determines whether a crowd sensing system can provide good service quality. To …

Mobile Crowdsourcing (MCS) photo-based is an arising field of interest and a trending topic
in the domain of ubiquitous computing. It has recently drawn substantial attention of the …

The paper presents a practical application of the crowdsensing idea to measure human
mobility and signal coverage in cellular networks. Currently, virtually everyone is carrying a …

The prevalence of mobile crowd sensing (MCS) facilitates the collection of large-scale
sensing data. There are many MCS platforms developed in various aspects. But there are …

This paper proposes a generic task-driven data collection framework, named as Crowd Pic,
for Mobile Crowd Photographing (MCP)-a widely used technique in crowd sensing. In order …