Dingwen Wang, Ming Zhao*
Journal of Cyber Security, Vol.2, No.2, pp. 63-68, 2020, DOI:10.32604/jcs.2020.07229
Abstract Mobile crowdsensing is a new paradigm with powerful performance
for data collection through a large number of smart devices. It is essential to
obtain high quality data in crowdsensing campaign. Most of the existing specs
ignore users’ diversity, focus on solving complicated optimization problem, and
consider devices as instances of intelligent software agents which can make
reasonable choices on behalf of users. Thus, the efficiency and quality of
contributed data cannot be preserved simultaneously. In this paper, we propose a
new scheme for improving the quality of contributed data, which recommends
tasks to users based on calculated score that jointly… More >
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