LCBPA: two-stage task allocation algorithm for high-dimension data collecting in mobile crowd sensing network

Mobile crowd sensing (MCS) is a novel emerging paradigm that leverages sensor-equipped smart mobile terminals (e.g., smartphones, tablets, and intelligent wearable devices) to collect information. Compared with traditional data collection methods, such as construct wireless sensor network infrastruc...

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Bibliographic Details
Published in:	EURASIP journal on wireless communications and networking Vol. 2019; no. 1; pp. 1 - 11
Main Authors:	Zhou, Ning, Zhang, Jianhui, Wang, Binqiang, Xiao, Jia
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 23.12.2019 Springer Nature B.V SpringerOpen
Subjects:	Algorithms Communications Engineering Computer simulation Data collection Detection Edge Engineering Fog High-dimensional data collection Human-centered Computing in Cloud Information Systems Applications (incl.Internet) Mobile crowd sensing Networks Remote sensors Signal,Image and Speech Processing Smartphones Tablet computers Task allocation Wearable technology Wireless sensor networks High-dimensional data collection Task allocation Mobile crowd sensing
ISSN:	1687-1499, 1687-1472, 1687-1499
Online Access:	Get full text
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