Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation
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...
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Main Authors | , , , , , , , , |
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Format | Journal Article |
Language | English |
Published |
06.01.2024
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Subjects | |
Online Access | Get full text |
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Summary: | 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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DOI: | 10.48550/arxiv.2401.03229 |