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Title: Stochastic geometry-based age of information performance analysis for privacy preservation-oriented mobile crowdsensing
Authors: Yang, Yaoqi
Zhang, Bangning
Guo, Daoxing
Wang, Weizheng
Nie, Jiangtian
Xiong, Zehui
Xu, Renhui
Zhou, Xiaokang
Keywords: Engineering::Computer science and engineering
Issue Date: 2023
Source: Yang, Y., Zhang, B., Guo, D., Wang, W., Nie, J., Xiong, Z., Xu, R. & Zhou, X. (2023). Stochastic geometry-based age of information performance analysis for privacy preservation-oriented mobile crowdsensing. IEEE Transactions On Vehicular Technology, 72(7), 9527-9541.
Project: SRG-ISTD-2021-165 
SUTD-ZJU (VP) 202102 
SKI 20210204
Journal: IEEE Transactions on Vehicular Technology
Abstract: As a promising enabler for sensing data collection manner, Mobile Crowdsensing (MCS) can play an important role due to its low implementation cost, flexible collection manner and controllable data quality traits. To investigate the sensing data freshness metric as well as ensure the data security, with the help of stochastic geometry tool, this paper designs a Non-Orthgonal Multiple Access (NOMA)-based Age of Information (AoI) performance analysis for privacy preservation-oriented MCS. To be specific, the privacy-preserving MCS system model is established at first. Then, based on stochastic geometry and queue theory, the AoI performance under cryptography guarantee is investigated. Next, given the traits of wireless channel and mobile terminal, mathematical AoI expressions for sensing data are determined under different serving rules, queue models and transmission schemes. Finally, under various parameter settings, numerical results evaluate the correctness and effectiveness of the established AoI model.
ISSN: 0018-9545
DOI: 10.1109/TVT.2023.3252167
Schools: School of Computer Science and Engineering 
Rights: © 2023 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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