Task Assignment and Path Planning Mechanism Based on Grade-Matching Degree and Task Similarity in Participatory Crowdsensing

Task Assignment and Path Planning Mechanism Based on Grade-Matching Degree and Task Similarity in Participatory Crowdsensing

Participatory crowdsensing (PCS) is an innovative data sensing paradigm that leverages the sensors carried in mobile devices to collect large-scale environmental information and personal behavioral data with the user’s participation. In PCS, task assignment and path planning pose complex challenges....

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Bibliographic Details
Main Authors: Xiaoxue He, Yubo Wang, Xu Zhao, Tiancong Huang, Yantao Yu
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
Subjects:
participatory crowdsensing (PCS)
grade-matching degree and similarity-based mechanism (GSBM)
multi-task assignment (MTA)
task similarity
grade-matching degree
improved ant colony optimization (IACO) algorithm
Online Access:https://www.mdpi.com/1424-8220/24/2/651

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https://www.mdpi.com/1424-8220/24/2/651

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