Q-Learning-Based Hyperheuristic Evolutionary Algorithm for Dynamic Task Allocation of Crowdsensing

Task allocation is a crucial issue of mobile crowdsensing. The existing crowdsensing systems normally select the optimal participants giving no consideration to the sudden departure of mobile users, which significantly affects the sensing quality of tasks with a long sensing period. Furthermore, the...

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Bibliographic Details

Published in:	IEEE transactions on cybernetics Vol. 53; no. 4; pp. 2211 - 2224
Main Authors:	Ji, Jian-Jiao, Guo, Yi-Nan, Gao, Xiao-Zhi, Gong, Dun-Wei, Wang, Ya-Peng
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.04.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Costs Crowdsensing dynamic optimization Evolutionary algorithms Genetic algorithms Heuristic algorithms hyperheuristic Machine learning Optimization Q-learning Resource management Sensors Strategy task allocation Task analysis
ISSN:	2168-2267, 2168-2275, 2168-2275
Online Access:	Get full text
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