Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …

Abstract The Internet of Things (IoT) has remarkably evolved over the last few years to
realize a wide range of newly emerging services and applications empowered by the …

Given the explosive growth of portable devices, mobile crowdsensing (MCS) is becoming an
essential approach that fully utilizes pervasive idle resources to accomplish sensing tasks …

Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …

As an emerging sensing data collection paradigm, mobile crowdsensing (MCS) enjoys good
scalability and low deployment cost but raises privacy concerns. In this paper, we propose a …

Mobile crowd sensing (MCS) with human participants has been proposed as an efficient
way of collecting data for smart cities applications. However, there often exist situations …

The minimum travel distance of task participants is one of the significant optimization
objectives of privacy-preserving task assignment in mobile crowdsensing (MCS). However …

Mobile crowdsensing (MCS) counting on the mobility of massive workers helps the
requestor accomplish various sensing tasks with more flexibility and lower cost. However, for …

Mobile crowdsensing (MCS) refers to a group of mobile users utilizing their sensing devices
to accomplish the same sensing task. However, in vehicular networks, how to evaluate the …

Crowdsensing is regarded as a critical component of the Internet of Things (IoT) and has
been widely applied in smart city services. Incentive mechanism design, data reliability …