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 …

Sparse mobile crowdsensing (SMCS) has emerged as a promising sensing paradigm for
urban sensing, leveraging the spatial and temporal correlation among data sensed in …

In MCS (mobile crowd sensing), reducing network overhead, protecting IoT user privacy and
increasing the participation enthusiasm of perception task are key issues. The QLPPIA (an …

The smart factory is a representative element reshaping conventional computer-aided
industry to data-driven smart industry, while it is nontrivial to achieve cost effectiveness …

The mobile crowdsensing paradigm facilitates a broad range of emerging sensing
applications by leveraging ubiquitous mobile users to cooperatively perform certain sensing …

By leveraging the power of crowd, the prevalence of mobile devices in mobile crowd-
sensing (MCS) networks helps and provides a wide range of sensing services through …

Mobile crowdsensing, a new paradigm, has drawn much attention from the online
community, in which mobile users are connected by using smartphones with sharing of …

With increasing popularity of related applications of mobile crowdsensing, especially in the
field of Internet of Vehicles (IoV), task allocation has attracted wide attention. How to select …

Mobile crowdsourcing has become an efficient paradigm for performing large scale tasks.
The incentive mechanism is important for the mobile crowdsourcing system to stimulate …

Mobile-edge computing (MEC), as an emerging computing paradigm, allows app vendors to
deploy their mobile and/or IoT applications on edge servers to deliver low-latency services …