Stochastic geometry-based age of information performance analysis for privacy preservation-oriented mobile crowdsensing

• Main Authors: Yang, Yaoqi, Zhang, Bangning, Guo, Daoxing, Wang, Weizheng, Nie, Jiangtian, Xiong, Zehui, Xu, Renhui, Zhou, Xiaokang
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Mobile Crowdsensing; Stochastic Geometry
• Online Access: https://hdl.handle.net/10356/170791
• Institution: Nanyang Technological University

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, w...