TY - GEN
T1 - Sensor cloud computing for vehicular applications
T2 - 4th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, DIVANet 2014
AU - Sheng, Zhengguo
AU - Hu, Xiping
AU - TalebiFard, Peyman
AU - Leung, Victor C.M.
AU - Chen, Ruifeng
AU - Zhou, Yingjie
N1 - Publisher Copyright:
Copyright © 2014 ACM.
PY - 2014
Y1 - 2014
N2 - Advances in sensor cloud computing to support vehicular applications are becoming more important as the need to better utilize computation and communication resources and make them energy efficient. In this paper, we propose a novel approach to minimize energy consumption of processing a vehicular application within mobile wireless sensor networks (MWSN) while satisfying a certain completion time requirement. Specifically, the application can be optimally partitioned, offloaded and executed with helps of peer sensor devices, e.g., a smart phone, thus the proposed solution can be treated as a joint optimization of computing and networking resources. Our theoretical analysis is supplemented by simulation results to show the significance of energy saving by 63% compared to the traditional cloud computing methods. Moreover, a prototype cloud system has been developing to validate the efficiency of sensor cloud strategies in dealing with diverse vehicular applications.
AB - Advances in sensor cloud computing to support vehicular applications are becoming more important as the need to better utilize computation and communication resources and make them energy efficient. In this paper, we propose a novel approach to minimize energy consumption of processing a vehicular application within mobile wireless sensor networks (MWSN) while satisfying a certain completion time requirement. Specifically, the application can be optimally partitioned, offloaded and executed with helps of peer sensor devices, e.g., a smart phone, thus the proposed solution can be treated as a joint optimization of computing and networking resources. Our theoretical analysis is supplemented by simulation results to show the significance of energy saving by 63% compared to the traditional cloud computing methods. Moreover, a prototype cloud system has been developing to validate the efficiency of sensor cloud strategies in dealing with diverse vehicular applications.
KW - Cloud computing
KW - Mobile wireless sensor networks
KW - Vehicular applications
UR - http://www.scopus.com/inward/record.url?scp=84908617837&partnerID=8YFLogxK
U2 - 10.1145/2656346.2656350
DO - 10.1145/2656346.2656350
M3 - Conference contribution
AN - SCOPUS:84908617837
T3 - DIVANet 2014 - Proceedings of the 4th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications
SP - 53
EP - 59
BT - DIVANet 2014 - Proceedings of the 4th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications
PB - Association for Computing Machinery, Inc
Y2 - 21 September 2014 through 26 September 2014
ER -