Results 21 to 30 of about 1,718 (250)

HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing [PDF]

open access: yesIEEE Transactions on Mobile Computing, 2020
Task allocation is a major challenge in Mobile Crowd Sensing (MCS). While previous task allocation approaches follow either the opportunistic or participatory mode, this paper proposes to integrate these two complementary modes in a two-phased hybrid framework called HyTasker.
Jiangtao Wang 0001   +7 more
openaire   +2 more sources

Privacy protection in mobile crowd sensing: a survey [PDF]

open access: yesWorld Wide Web, 2019
AbstractThe unprecedented proliferation of mobile smart devices has propelled a promising computing paradigm, Mobile Crowd Sensing (MCS), where people share surrounding insight or personal data with others. As a fast, easy, and cost-effective way to address large-scale societal problems, MCS is widely applied into many fields, e.g., environment ...
Yongfeng Wang   +3 more
openaire   +2 more sources

A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks

open access: yesSensors, 2018
Crowd sensing is a perception mode that recruits mobile device users to complete tasks such as data collection and cloud computing. For the cloud computing platform, crowd sensing can not only enable users to collaborate to complete large-scale awareness
Bing Jia   +4 more
doaj   +1 more source

An Incentive Mechanism in Mobile Crowdsourcing Based on Multi-Attribute Reverse Auctions

open access: yesSensors, 2018
In order to avoid malicious competition and select high quality crowd workers to improve the utility of crowdsourcing system, this paper proposes an incentive mechanism based on the combination of reverse auction and multi-attribute auction in mobile ...
Ying Hu   +3 more
doaj   +1 more source

Pavement Management Utilizing Mobile Crowd Sensing

open access: yesAdvances in Civil Engineering, 2020
Pavement management, which is vital in road transportation and maintenance, is facing some troubles, such as high costs of labors and machineries, low detecting efficiency, and low update rate of pavement conditions by means of traditional detection ways.
Boquan Tian   +3 more
doaj   +1 more source

CENTURION: Incentivizing multi-requester mobile crowd sensing [PDF]

open access: yesIEEE INFOCOM 2017 - IEEE Conference on Computer Communications, 2017
The recent proliferation of increasingly capable mobile devices has given rise to mobile crowd sensing (MCS) systems that outsource the collection of sensory data to a crowd of participating workers that carry various mobile devices. Aware of the paramount importance of effectively incentivizing participation in such systems, the research community has
Haiming Jin, Lu Su 0001, Klara Nahrstedt
openaire   +2 more sources

A Study on Mobile Crowd Sensing Systems for Healthcare Scenarios

open access: yesIEEE Access, 2023
Due to the growing capabilities of mobile phones and devices, mobile crowd sensing (MCS) is rapidly gaining popularity among researchers in different fields, given its ability to collect data at scale and low cost.
Enshi Zhang   +3 more
doaj   +1 more source

Hybrid Two-Phase Task Allocation for Mobile Crowd Sensing [PDF]

open access: yesJisuanji gongcheng, 2022
As a result of the popularity of mobile devices, Mobile Crowd Sensing(MCS) has attracted a lot of attention.Task allocation is a significant problem in MCS.Most previous studies mainly focused on stationary spatial tasks while neglecting the changes of ...
LIU Jiahao, JIN Hanxin, QIANG Lei, GAO Guoju, DU Yang, HUANG He
doaj   +1 more source

Failure-Aware Mobile Crowd Sensing: A Social Relationship-Based Transfer Approach

open access: yesIEEE Access, 2019
As an appealing sensing paradigm, Mobile Crowd Sensing (MCS) which provides a cost-efficient solution for large-scale urban sensing tasks has gained significant attention in recent years.
Liang Wang   +5 more
doaj   +1 more source

Optimal Transport for Mobile Crowd Sensing Participants

open access: yes2019 IEEE Wireless Communications and Networking Conference (WCNC), 2019
Smart cities are becoming more complex and greater volumes of data are required for its efficient operation. Mobile Crowdsensing (MCS) is a paradigm that employs smartphones as instruments to collect data, where the recruitment of participants is based on rewards and incentives.
Sherif B. Azmy   +2 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy