Data management for internet of things: Challenges, approaches and opportunities

Meng Ma, Ping Wang, Chao Hsien Chu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

116 Scopus citations

Abstract

Internet of Things (IoT) is an important part of the new generation information technology. Data management for IoT plays a crucial role in its effective operations and has become a key research topic of IoT. Much work has been done to enable effective and intelligent data processing and analysis when IoT is evolving from Radio Frequency Identification (RFID), Wireless Sensor Network (WSN) and other related technologies. In this paper, we start from the core definition and architecture of IoT, aiming at examining current research effort to derive a holistic view of existing literatures. We present a layered reference model for IoT data management and elaborate the related research topics and solutions in each layer. Based on our analysis, we identify research challenges and opportunities for future work.

Original languageEnglish (US)
Title of host publicationProceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
Pages1144-1151
Number of pages8
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013 - Beijing, China
Duration: Aug 20 2013Aug 23 2013

Publication series

NameProceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

Other

Other2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
Country/TerritoryChina
CityBeijing
Period8/20/138/23/13

All Science Journal Classification (ASJC) codes

  • Software

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