A survey of mobile crowdsensing and crowdsourcing strategies for smart mobile device users

被引:0
作者
Arpita Ray
Chandreyee Chowdhury
Subhayan Bhattacharya
Sarbani Roy
机构
[1] Jadavpur University,
来源
CCF Transactions on Pervasive Computing and Interaction | 2023年 / 5卷
关键词
Smartphones; Mobile crowdsensing; Mobile crowdsourcing; Energy efficiency; Incentive disbursement; Device security;
D O I
暂无
中图分类号
学科分类号
摘要
Smart handheld devices such as smartphones are capable of sensing and interacting with surrounding environments. This emerging capability of smartphones has resulted in the utilization of it as input devices and led it to be used as the default physical interface in applications of ubiquitous computing. Mobile crowdsensing is a new paradigm, which utilizes the different sensors in the smart devices to sense data from the surroundings and then transmit large amount of data to the cloud to be analyzed, managed, and stored. Crowdsourcing, on the other hand, can be defined as a model to solve a complex problem that is distributed in nature, where a crowd of unspecific size is utilized through an open call. The usage of smart devices with unique multi-sensing proficiency and context-aware capability will be able to utilize the full potential of crowdsourcing. Hence, the smart devices with the capability of sensing the environment and utilization of the wisdom of the crowd can be utilized for various benefits of the society for a better standard of living. In this survey, we present a comprehensive understanding of mobile crowdsensing and mobile crowdsourcing and how it has helped in improving the standard of living of people, specifically in the context of smart cities. Pertaining challenges have been highlighted which were creating hindrances in smooth implementation of these techniques and a few of the solutions have been discussed.
引用
收藏
页码:98 / 123
页数:25
相关论文
共 50 条
  • [21] Data-Oriented Mobile Crowdsensing: A Comprehensive Survey
    Liu, Yutong
    Kong, Linghe
    Chen, Guihai
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2019, 21 (03): : 2849 - 2885
  • [22] Student Research Abstract: Smart Mobile Crowdsensing for Tinnitus Research
    Mehdi, Muntazir
    SAC '19: PROCEEDINGS OF THE 34TH ACM/SIGAPP SYMPOSIUM ON APPLIED COMPUTING, 2019, : 1220 - 1223
  • [23] Truthful Incentive Mechanism for Mobile Crowdsensing with Smart Consumer Devices
    Ozyagci, Ozlem Zehra
    Matskin, Mihhail
    PROCEEDINGS 2016 IEEE 40TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSAC), VOL 2, 2016, : 282 - 287
  • [24] CSSA-based collaborative optimization recommendation of users in mobile crowdsensing
    Wang, Jian
    Hao, Shuai
    Zhao, Guosheng
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2023, 16 (02) : 803 - 817
  • [25] Protecting Location Privacy of Users Based on Trajectory Obfuscation in Mobile Crowdsensing
    Gao, Zhigang
    Huang, Yucai
    Zheng, Leilei
    Lu, Huijuan
    Wu, Bo
    Zhang, Jianhui
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (09) : 6290 - 6299
  • [26] Online Pricing for Mobile Crowdsourcing with Multi-Minded Users
    Han, Kai
    He, Yuntian
    Tan, Haisheng
    Tang, Shaojie
    Huang, He
    Luo, Jun
    MOBIHOC'17: PROCEEDINGS OF THE 18TH ACM INTERNATIONAL SYMPOSIUM ON MOBILE AD HOC NETWORKING AND COMPUTING, 2017,
  • [27] CSSA-based collaborative optimization recommendation of users in mobile crowdsensing
    Jian Wang
    Shuai Hao
    Guosheng Zhao
    Peer-to-Peer Networking and Applications, 2023, 16 : 803 - 817
  • [28] Optimal User Choice Engineering in Mobile Crowdsensing with Bounded Rational Users
    Karaliopoulos, Merkouris
    Koutsopoulos, Iordanis
    Spiliopoulos, Leonidas
    IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2019), 2019, : 1054 - 1062
  • [29] Optimization strategies for the selection of mobile edges in hybrid crowdsensing architectures
    Belli, Dimitri
    Chessa, Stefano
    Corradi, Antonio
    Foschini, Luca
    Girolami, Michele
    COMPUTER COMMUNICATIONS, 2020, 157 (157) : 132 - 142
  • [30] Privacy protection strategies in mobile crowdsensing from the framework perspective
    Han, Xiaoyu
    Niu, Xiaojing
    Chen, Liling
    Qin, Shengfeng
    2024 29TH INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING, ICAC 2024, 2024, : 194 - 199