Participant selection optimization model for mobile groups in crowdsensing

被引：0
|
作者：
Jiang, Wei-Jin [1 ,2 ]
Lü, Si-Jian [1 ,2 ]
Chen, Xiao-Hong [2 ]
机构：
[1] College of Computer and Information Engineering, Hunan University of Technology and Business, Changsha,410205, China
[2] Key Laboratory of Hunan Province for New Retail Virtual Reality Technology, Changsha,410205, China
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2022年 / 39卷 / 02期
关键词：
Crowdsensing - Data collection - Data driven - Density clustering - Group awareness - Node movement - Optimisations - Optimization algorithms - Optimization models - Task distribution;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：343 / 351
相关论文
共 50 条
  • [31] Cooperative Computing for Mobile Crowdsensing: Design and Optimization
    Xie, Xin
    Bai, Tong
    Guo, Weiwei
    Wang, Zhipeng
    Nallanathan, Arumugam
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 23 (05) : 6437 - 6454
  • [32] A Pricing Approach Toward Incentive Mechanisms for Participant Mobile Crowdsensing in Edge Computing
    Chen, Xin
    Tang, Chao
    Li, Zhuo
    Qi, Lianyong
    Chen, Ying
    Chen, Shuang
    MOBILE NETWORKS & APPLICATIONS, 2020, 25 (04): : 1220 - 1232
  • [33] Privacy Preserving Participant Recruitment for Coverage Maximization in Location Aware Mobile Crowdsensing
    Li, Liang
    Shi, Dian
    Zhang, Xinyue
    Hou, Ronghui
    Yue, Hao
    Li, Hui
    Pan, Miao
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2022, 21 (09) : 3250 - 3262
  • [34] Reputation-Aware Data Fusion and Malicious Participant Detection in Mobile Crowdsensing
    Tang, Yujian 'Charles'
    Tasnim, Samia
    Pissinou, Niki
    Iyengar, S. S.
    Shahid, Abdur
    2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 4820 - 4828
  • [35] A Pricing Approach Toward Incentive Mechanisms for Participant Mobile Crowdsensing in Edge Computing
    Xin Chen
    Chao Tang
    Zhuo Li
    Lianyong Qi
    Ying Chen
    Shuang Chen
    Mobile Networks and Applications, 2020, 25 : 1220 - 1232
  • [36] Participant Recruitment for Coverage-Aware Mobile Crowdsensing with Location Differential Privacy
    Li, Liang
    Zhang, Xinyue
    Hou, Ronghui
    Yue, Hao
    Li, Hui
    Pan, Miao
    2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
  • [37] Participant Grouping for Privacy Preservation in Mobile Crowdsensing over Hierarchical Edge Clouds
    Li, Ting
    Qiu, Zhijin
    Cao, Lijuan
    Li, Hanshang
    Guo, Zhongwen
    Li, Fan
    Shi, Xinghua
    Wang, Yu
    2018 IEEE 37TH INTERNATIONAL PERFORMANCE COMPUTING AND COMMUNICATIONS CONFERENCE (IPCCC), 2018,
  • [38] Mobility-Aware Participant Recruitment for Vehicle-Based Mobile Crowdsensing
    Wang, Xiumin
    Wu, Weiwei
    Qi, Deyu
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (05) : 4415 - 4426
  • [39] RL-Recruiter plus : Mobility-Predictability-Aware Participant Selection Learning for From-Scratch Mobile Crowdsensing
    Hu, Yunfan
    Wang, Jiangtao
    Wu, Bo
    Helal, Sumi
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2022, 21 (12) : 4555 - 4568
  • [40] Credible nodes selection in mobile crowdsensing based on GAN
    Wang, Jian
    Liu, Jia
    Chen, Jing
    Zhao, Guosheng
    APPLIED INTELLIGENCE, 2023, 53 (19) : 22715 - 22727
12345