A survey of sparse mobile crowdsensing: Developments and opportunities
Sparse mobile crowdsensing (SMCS) has emerged as a promising sensing paradigm for
urban sensing, leveraging the spatial and temporal correlation among data sensed in …
urban sensing, leveraging the spatial and temporal correlation among data sensed in …
A deep learning-based mobile crowdsensing scheme by predicting vehicle mobility
X Zhu, Y Luo, A Liu, W Tang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile crowdsensing is an emerging paradigm that selects users to complete sensing tasks.
Recently, mobile vehicles are adopted to perform sensing data collection tasks in the urban …
Recently, mobile vehicles are adopted to perform sensing data collection tasks in the urban …
A novel load balancing and low response delay framework for edge-cloud network based on SDN
For the cloud computing based on software-defined networks (SDNs), a larger amount of
data is collected to cloud for analysis, which will cause the larger amount of redundancy …
data is collected to cloud for analysis, which will cause the larger amount of redundancy …
CMAB-based reverse auction for unknown worker recruitment in mobile crowdsensing
M **ao, B An, J Wang, G Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile CrowdSensing (MCS), through which a requester can coordinate a crowd of workers
to accomplish some data collection tasks, has been recognized as a promising paradigm for …
to accomplish some data collection tasks, has been recognized as a promising paradigm for …
TVD-RA: A truthful data value discovery based reverse auction incentive system for mobile crowd sensing
Emerging crowdsensing paradigm enables a large number of sensing applications, where
much attention is drawn to the fundamental problems for maximizing the system utility and …
much attention is drawn to the fundamental problems for maximizing the system utility and …
A UAV-assisted multi-task allocation method for mobile crowd sensing
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 …
way of collecting data for smart cities applications. However, there often exist situations …
Trust evaluation mechanism for user recruitment in mobile crowd-sensing in the Internet of Things
Mobile crowd-sensing (MCS) has appeared as a prospective solution for large-scale data
collection, leveraging built-in sensors and social applications in mobile devices that enables …
collection, leveraging built-in sensors and social applications in mobile devices that enables …
A multi-leader multi-follower game-based analysis for incentive mechanisms in socially-aware mobile crowdsensing
The mobile crowdsensing paradigm facilitates a broad range of emerging sensing
applications by leveraging ubiquitous mobile users to cooperatively perform certain sensing …
applications by leveraging ubiquitous mobile users to cooperatively perform certain sensing …
Multiple cooperative task allocation in group-oriented social mobile crowdsensing
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 …
community, in which mobile users are connected by using smartphones with sharing of …
An intelligent big data collection technology based on micro mobile data centers for crowdsensing vehicular sensor network
The fast development of Internet of Things (IoT) has greatly driven the development of
mobile crowdsensing vehicular sensor network (CVSN). A lot of fascinating big data–based …
mobile crowdsensing vehicular sensor network (CVSN). A lot of fascinating big data–based …