Results 41 to 50 of about 5,365 (199)
Improving Both Quantity and Quality: Incentive Mechanism for Social Mobile Crowdsensing Architecture
IEEE Access, 2018 Mobile crowdsensing has emerged as an efficient paradigm for performing large-scale sensing tasks. Improving both the quantity and quality of users is still the pivotal problem for mobile crowdsensing system.
Jia Xu +4 more
doaj +1 more source
Towards System Implementation and Data Analysis for Crowdsensing Based Outdoor RSS Maps
IEEE Access, 2018 With the explosive usage of smart mobile devices, sustainable access to wireless networks (e.g., Wi-Fi) has become a pervasive demand. Most mobile users expect seamless network connection with low cost.
Xiaochen Fan +6 more
doaj +1 more source
Human in the Loop: Distributed Deep Model for Mobile Crowdsensing [PDF]
, 2018 With the proliferation of mobile devices, crowdsensing has become an appealing technique to collect and process big data. Meanwhile, the rise of fifth generation wireless systems, especially the new cellular base stations with computing ability, brings ...
DONG Mianxiong, LI Liangzhi, OTA Kaoru
core +2 more sources
Crowdsensing and proximity services for impaired mobility [PDF]
2016 IEEE Symposium on Computers and Communication (ISCC), 2016 New sensors embedded into modern smartphones has led into a new data collection prospective in which people directly collect all the sensitive data. This feature has found different applications, in particular in the Smart Cities area, in order to establish dynamic communications between the citizens and the city government.
Cortellazzi, Jacopo +5 more
openaire +2 more sources
A Novel Quality and Reliability-Based Approach for Participants’ Selection in Mobile Crowdsensing
IEEE Access, 2019 With the advent of mobile crowdsensing, we now have the possibility of tapping into the sensing capabilities of smartphones carried by citizens every day for the collection of information and intelligence about cities and events.
May El Barachi +3 more
doaj +1 more source
Differentially Private Task Allocation Algorithm Under Preference Protection
IEEE Access, 2022 Mobile crowdsensing has been widely applied as a kind of perception paradigm, and task allocation is a fundamental research issue in mobile crowdsensing.
Juntao Han, Shuyue Cai
doaj +1 more source
Mobile Crowdsensing in Software Defined Opportunistic Networks [PDF]
, 2017 Mobile crowdsensing is a new paradigm that sharing sensing data collected by mobile devices such as smartphones and tablets. As mobile devices are usually connected by an opportunistic network for data transferring, it is hard to acknowledge the ...
DONG Mianxiong +3 more
core +2 more sources
Urban Mobility: Mobile Crowdsensing Applications
, 2018 Mobility has become one of the most difficult challenges that cities must face. More than half of world’s population resides in urban areas and with the continuously growing population it is imperative that cities use their resources more efficiently.
João Simões +3 more
openaire +2 more sources
Security and privacy issues in blockchain and its applications
, 2023 IET Blockchain, Volume 3, Issue 4, Page 169-171, December 2023.
Liangmin Wang +4 more
wiley +1 more source
South African Computer Journal, 2019 In recent years crowdsensing has become a hot topic amongst researchers. Crowdsensing can incentivise and empower citizens to use their mobile phones to collect and share sensed data from their surrounding environments.
Brenda Scholtz, Clara Mloza-Banda
doaj +1 more source