A4 Article in conference proceedings
Reliable and Privacy-Preserving Task Recomposition for Crowdsensing in Vehicular Fog Computing (2018)


Wang, B., Chang, Z., Zhou, Z., & Ristaniemi, T. (2018). Reliable and Privacy-Preserving Task Recomposition for Crowdsensing in Vehicular Fog Computing. In Proceedings of 2018 IEEE 87th Vehicular Technology Conference (VTC Spring). IEEE. doi:10.1109/VTCSpring.2018.8417688


JYU authors or editors


Publication details

All authors or editors: Wang, Biying; Chang, Zheng; Zhou, Zhenyu; Ristaniemi, Tapani

Parent publication: Proceedings of 2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

ISBN: 978-1-5386-6355-4

ISSN: 2577-2465

Publication year: 2018

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/VTCSpring.2018.8417688

Open Access: Publication channel is not openly available

Additional information: 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 3-6 June 2018, Porto, Portugal.


Keywords: traffic engineering; data; crowdsourcing; data protection

Free keywords: task recomposition; privacy-preserving; crowdsensing; report; vehicular fog computing


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2018

JUFO rating: 1


Last updated on 2020-18-10 at 19:46