TY - GEN
T1 - A mobile crowdsensing framework for integrating smartphone and IoT devices to cloud computing services
AU - Wibisono, Waskitho
AU - Nuryanto, M. Divi Jaya
AU - Ijtihadie, Royyana M.
AU - Ahmad, Tohari
AU - Anggoro, Radityo
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/11/7
Y1 - 2017/11/7
N2 - The proliferations of mobile crowdsensing (MCS) services using smartphones with various embedded sensors have enabled people to involve in public sensing activities for various applications. Nevertheless for more complex applications such as smart CIties, traffic monitoring, disaster prevention more variety of sensors are required. Hence combination of smartphone and Internet of Things (IoT) devices to form crowdsensing cluster will give great advantages. This paper proposes design and implementation of mobile crowdsensing framework to support integration of smartphones and IoT devices as a mobile crowdsensing cluster. The prototype of the proposed framework has been successfully implemented and tested using real devices and infrastructure with promising results.
AB - The proliferations of mobile crowdsensing (MCS) services using smartphones with various embedded sensors have enabled people to involve in public sensing activities for various applications. Nevertheless for more complex applications such as smart CIties, traffic monitoring, disaster prevention more variety of sensors are required. Hence combination of smartphone and Internet of Things (IoT) devices to form crowdsensing cluster will give great advantages. This paper proposes design and implementation of mobile crowdsensing framework to support integration of smartphones and IoT devices as a mobile crowdsensing cluster. The prototype of the proposed framework has been successfully implemented and tested using real devices and infrastructure with promising results.
KW - Mobile Crowdsensing, Cloud Computing
UR - http://www.scopus.com/inward/record.url?scp=85052521693&partnerID=8YFLogxK
U2 - 10.1145/3144457.3145506
DO - 10.1145/3144457.3145506
M3 - Conference contribution
AN - SCOPUS:85052521693
SN - 9781450353687
T3 - ACM International Conference Proceeding Series
SP - 482
EP - 487
BT - 14th EAI International Conference on Mobile and Ubiquitous Systems
PB - Association for Computing Machinery
T2 - 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017
Y2 - 7 November 2017 through 10 November 2017
ER -
