TY - GEN
T1 - Services D2D aggregation for environment measurement based on people-centric IoT
AU - Yang, Lin
AU - Li, Wenfeng
AU - Duan, Ying
AU - Luo, Yun
AU - Ghandehari, Masoud
N1 - Funding Information:
ACKNOWLEDGMENT This work is supported in part by the NSFC (61571336) and the International Science & Technology Cooperation Project (2015DFG12210).
Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/12
Y1 - 2017/10/12
N2 - Since increasing citizen are associated with a major increase in street vehicles and air pollution, and air pollution exposure is a significant risk to urban dwellers. Spatially and temporally high-resolution air pollution measurement is highly concerned. Conventional people-centric sensing approaches is based on vertical and closed way, and measurement are based on private sensor accessing, gateway-based data bundled and data shared trough cloud server. However, the growing connected devices leads to a certain of high-density crowdsourced surroundings around human in smart city, but how to efficiently read spatiotemporal air pollution data from self-organized smart objects is still poorly understood. To address the issue, this paper proposes a service-oriented service architecture of people-centric internet of things(PIoT) based on smart object. And then, a directly Device-to-Device (D2D) service aggregation mechanism is presented. Finally, a case study of low-cost measurement system for street level air pollution and traffic volume is illustrated.
AB - Since increasing citizen are associated with a major increase in street vehicles and air pollution, and air pollution exposure is a significant risk to urban dwellers. Spatially and temporally high-resolution air pollution measurement is highly concerned. Conventional people-centric sensing approaches is based on vertical and closed way, and measurement are based on private sensor accessing, gateway-based data bundled and data shared trough cloud server. However, the growing connected devices leads to a certain of high-density crowdsourced surroundings around human in smart city, but how to efficiently read spatiotemporal air pollution data from self-organized smart objects is still poorly understood. To address the issue, this paper proposes a service-oriented service architecture of people-centric internet of things(PIoT) based on smart object. And then, a directly Device-to-Device (D2D) service aggregation mechanism is presented. Finally, a case study of low-cost measurement system for street level air pollution and traffic volume is illustrated.
KW - Air pollution
KW - Device-to-device Interaction
KW - People-centric Internet of Things
KW - Smart City
KW - Smart Objects
UR - http://www.scopus.com/inward/record.url?scp=85034107109&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85034107109&partnerID=8YFLogxK
U2 - 10.1109/CSCWD.2017.8066714
DO - 10.1109/CSCWD.2017.8066714
M3 - Conference contribution
AN - SCOPUS:85034107109
T3 - Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design, CSCWD 2017
SP - 319
EP - 324
BT - Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design, CSCWD 2017
A2 - Barthes, Jean-Paul
A2 - Luo, Junzhou
A2 - Shen, Weiming
A2 - Thuan, Nguyen Hoang
A2 - Yong, Jianming
A2 - Antunes, Pedro
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2017
Y2 - 26 April 2017 through 28 April 2017
ER -