%0 Journal Article
%A LV Hong-Wu
%A SHAO Zi-Hao
%A YU Hui-Jiang
%A ZOU Yi-Fan
%T User selection based on user-union and relative entropy in mobile crowdsensing
%D 2022
%R 10.19682/j.cnki.1005-8885.2022.1001
%J Journal of China Universities of Posts and Telecommunications
%P 34-42
%V 29
%N 3
%X <p>
	A critical issue in mobile crowdsensing (MCS) involves selecting appropriate users from a number of participants to guarantee the completion of a sensing task. Users may upload unnecessary data to the sensing platform, leading to redundancy and low user selection efficiency. Furthermore, using exact values to evaluate the quality of the user-union will further reduce selection accuracy when users form a union. This paper proposes a user selection method based on user-union and relative entropy in MCS. More specifically, a user-union matching scheme based on similarity calculation is constructed to achieve user-union and reduce data redundancy effectively. Then, considering the interval-valued influence, a user-union selection strategy with the lowest relative entropy is proposed. Extensive testing was conducted to investigate the impact of various parameters on user selection. The&nbsp;results obtained are encouraging and provide essential insights into the different aspects impacting the data
</p>
<p>
	redundancy and interval-valued estimation of MCS user selection.
</p>
%U https://jcupt.bupt.edu.cn/EN/10.19682/j.cnki.1005-8885.2022.1001