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Big data analysis and IoT

Yongrui Qin, Quan Z. Sheng*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary/reference bookpeer-review

Abstract

With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor devices, and Web technologies, the Internet of Things (IoT) approach has gained momentum in connecting everyday objects to the Internet and facilitating machine-to-human and machine-to-machine communication with the physical world. IoT offers the capability to connect and integrate both digital and physical entities, enabling a whole new class of applications and services, but several significant challenges need to be addressed before these applications and services can be fully realized. A fundamental challenge centers around managing big IoT data, typically produced in dynamic and volatile environments, which is not only extremely large in scale and volume but also noisy and continuous. This entry discusses characteristics of IoT data, potential applications in IoT, and open research issues for IoT data management.

Original languageEnglish
Title of host publicationEncyclopedia of big data technologies
EditorsSherif Sakr, Albert Y. Zomaya
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Pages141-152
Number of pages12
ISBN (Electronic)9783319775258
ISBN (Print)9783319775241
DOIs
Publication statusPublished - 2019

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