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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Vydáno v:	EURASIP journal on wireless communications and networking Ročník 2019; číslo 1; s. 1 - 11
Hlavní autoři:	Zhou, Ning, Zhang, Jianhui, Wang, Binqiang, Xiao, Jia
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 23.12.2019 Springer Nature B.V SpringerOpen
Témata:	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
On-line přístup:	Získat plný text
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