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 …

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 …

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 …

In traditional mobile crowdsensing applications, organizers need participants' precise
locations for optimal task allocation, eg, minimizing selected workers' travel distance to task …

Sparse Mobile Crowdsensing (MCS) has become a compelling approach to acquire and
infer urban-scale sensing data. However, participants risk their location privacy when …

Data quality and budget are two primary concerns in urban-scale mobile crowdsensing
applications. In this paper, we leverage the spatial and temporal correlation among the data …

This paper first defines a novel spatial-temporal coverage metric, k-depth coverage, for
mobile crowdsensing (MCS) problems. This metric considers both the fraction of subareas …

Mobile crowd sensing (MCS) is the special case of crowdsourcing, which leverages the
smartphones with various embedded sensors and user's mobility to sense diverse …

Ubiquity of mobile devices with rich sensory capabilities has given rise to the mobile crowd-
sensing (MCS) concept, in which a central authority (the platform) and its participants …

In this paper, we focus on the incentive mechanism design for a vehicle-based,
nondeterministic crowdsensing system. In this crowdsensing system, vehicles move along …