Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation

• URL: http://arxiv.org/abs/2401.03229v1
• Date: Sat, 6 Jan 2024 14:41:13 GMT
• Title: Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation
• Authors: Wansen Wu, Weiyi Yang, Juanjuan Li, Yong Zhao, Zhengqiu Zhu, Bin Chen, Sihang Qiu, Yong Peng, and Fei-Yue Wang
• Abstract summary: Crowdsensing Intelligence (CSI) has been proposed to collect data from Cyber-Physical-Social Systems. This letter reports the outcomes of the latest Distributed/Decentralized Hybrid Workshop on Crowdsensing Intelligence.
• Score: 18.73616489977625
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The precise characterization and modeling of Cyber-Physical-Social Systems (CPSS) requires more comprehensive and accurate data, which imposes heightened demands on intelligent sensing capabilities. To address this issue, Crowdsensing Intelligence (CSI) has been proposed to collect data from CPSS by harnessing the collective intelligence of a diverse workforce. Our first and second Distributed/Decentralized Hybrid Workshop on Crowdsensing Intelligence (DHW-CSI) have focused on principles and high-level processes of organizing and operating CSI, as well as the participants, methods, and stages involved in CSI. This letter reports the outcomes of the latest DHW-CSI, focusing on Autonomous Crowdsensing (ACS) enabled by a range of technologies such as decentralized autonomous organizations and operations, large language models, and human-oriented operating systems. Specifically, we explain what ACS is and explore its distinctive features in comparison to traditional crowdsensing. Moreover, we present the ``6A-goal" of ACS and propose potential avenues for future research.

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