Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

Currently, we are experiencing a technological shift, which is expected to change the way
we program and interact with the world. Cloud computing and mobile computing are two …

Audio signals generated by the human body (eg, sighs, breathing, heart, digestion, vibration
sounds) have routinely been used by clinicians as indicators to diagnose disease or assess …

With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

Mobile crowdsensing serves as a critical building block for emerging Internet of Things (IoT)
applications. However, the sensing devices continuously generate a large amount of data …

With the support of portable electronic devices and crowdsensing, a new class of mobile
applications based on the Internet of Things (IoT) application is emerging. Crowdsensing …

Communities are prevalent in social networks, knowledge graphs, and biological networks.
Recently, the topic of community search (CS) has received plenty of attention. Given a query …

This paper proposes a novel participant selection framework, named CrowdRecruiter, for
mobile crowdsensing. CrowdRecruiter operates on top of energy-efficient Piggyback …

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 …

Wireless indoor positioning has been extensively studied for the past 2 decades and
continuously attracted growing research efforts in mobile computing context. As the …