Massive Heterogeneous Sensor Data Management in the Internet of Things

Author

Ding, Zhiming ; Yang, Qi ; Wu, Hong

Author_Institution

Inst. of Software, Beijing, China

fYear

2011

fDate

19-22 Oct. 2011

Firstpage

100

Lastpage

108

Abstract

In recent years, the Internet of Things (IoT) has become increasingly important and is changing the way how people live and work. IoT has a lot of benefits and meanwhile, it also brings about great challenges to the data management community. In this paper, we first analyze the challenges in IoT data management, and then propose a novel Sea-Cloud-based massive heterogeneous sensor Data Management ("SeaCloudDM") framework in order to meet these challenges. The experimental results show that SeaCloudDM provides satisfactory query processing performances for massive sensor sampling data.

Keywords

cloud computing; data handling; query processing; sensor fusion; Internet of Things; SeaCloudDM; massive heterogeneous sensor data; massive sensor sampling data; query processing; sea-cloud computing; sensor data management; Clouds; Databases; Monitoring; Multimedia communication; Radiofrequency identification; Streaming media; Temperature sensors; Internet of Things; Massive Data Processing; Sea-Cloud Computing; Sensor Data Management;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing

Conference_Location

Dalian

Print_ISBN

978-1-4577-1976-9

Type

conf

DOI

10.1109/iThings/CPSCom.2011.6

Filename

6142309