TY - JOUR
T1 - Toward Big Data in Green City
AU - Zhu, Chunsheng
AU - Zhou, Huan
AU - Leung, Victor C.M.
AU - Wang, Kun
AU - Zhang, Yan
AU - Yang, Laurence T.
N1 - Publisher Copyright:
© 1979-2012 IEEE.
PY - 2017/11
Y1 - 2017/11
N2 - Integrating sensors and cloud computing, sensor-cloud is a very powerful system for users to obtain big data in green city. In this article, toward big data in green city, we first review the latest work concerning big data and sensor-cloud, respectively. Further, we introduce three types of sensor-cloud (i.e., PSC, ASC, and SSC) for green city. Specifically, about PSC, participatory sensing is incorporated into sensor-cloud for sensing big data. In terms of ASC, an agent is incorporated into sensor-cloud for transmitting big data. For SSC, a social network is incorporated into sensor-cloud for sharing big data. Finally, the open research issues with respect to big data and sensor-cloud are discussed, respectively. We hope this article can serve as enlightening guidance for future research regarding big data in green city.
AB - Integrating sensors and cloud computing, sensor-cloud is a very powerful system for users to obtain big data in green city. In this article, toward big data in green city, we first review the latest work concerning big data and sensor-cloud, respectively. Further, we introduce three types of sensor-cloud (i.e., PSC, ASC, and SSC) for green city. Specifically, about PSC, participatory sensing is incorporated into sensor-cloud for sensing big data. In terms of ASC, an agent is incorporated into sensor-cloud for transmitting big data. For SSC, a social network is incorporated into sensor-cloud for sharing big data. Finally, the open research issues with respect to big data and sensor-cloud are discussed, respectively. We hope this article can serve as enlightening guidance for future research regarding big data in green city.
UR - http://www.scopus.com/inward/record.url?scp=85040611499&partnerID=8YFLogxK
U2 - 10.1109/MCOM.2017.1700142
DO - 10.1109/MCOM.2017.1700142
M3 - 文章
AN - SCOPUS:85040611499
SN - 0163-6804
VL - 55
SP - 14
EP - 18
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 11
M1 - 8114542
ER -