Results 31 to 40 of about 2,442,562 (279)
Participants Ranking Algorithm for Crowdsensing in Mobile Communication
EAI Endorsed Transactions on Scalable Information Systems, 2018 As mobile technology is becoming more advance, the uses of this technology is increasing day by day. The mobile phone is used by everyone and it became the necessity of life. Today, smart devices are flooding the internet with data that are everywhere and
Tariq Ali +5 more
doaj +1 more source
IEEE Access, 2017 In mobile crowd-sensing systems, the value of crowd-sensed big data can be increased by incentivizing the users appropriately. Since data acquisition is participatory, crowd-sensing systems face the challenge of data trustworthiness and truthfulness ...
Maryam Pouryazdan +5 more
doaj +1 more source
Mobile crowd sensing architectural frameworks: A comprehensive survey [PDF]
, 2016 Mobile Crowd Sensing has emerged as a new sensing paradigm, efficiently exploiting human intelligence and mobility in conjunction with advanced capabilities and proliferation of mobile devices. In order for MCS applications to reach their full potentials,
Lagkas, T. +7 more
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A UAV-assisted Multi-task Allocation Method for Mobile Crowd Sensing
, 2022 Mobile crowd sensing (MCS) has been widely used as a cost-efcient way to collect data for smart cities, which typically starts with participant recruitment and task allocation.
Xiao, Yu +9 more
core +1 more source
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing [PDF]
IEEE 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 +4 more sources
Integrated Security And Privacy Preservation Approach In Mobile Crowd Sensing [PDF]
, 2020 The proliferation of mobile devices such as smartphones and tablets with embedded sensors and communication features introduces a novel sensing paradigm called mobile crowd sensing (MCS).
Pius, Owoh Nsikak
core +1 more source
Privacy protection in mobile crowd sensing: a survey [PDF]
World 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 +3 more sources
Helping Campaign Initiators Create Mobile Crowd Sensing Apps : A Supporting Framework
, 2015 Mobile Crowd Sensing (MCS) refers to the sensing paradigm in which mobile users with sensing and computing devices are tasked to collect and contribute data in order to enable various applications.
Wang, Yasha +2 more
core +4 more sources
A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks
Sensors, 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
Sensors, 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
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