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primary topic: A Context-Aware Data Reduction Framework for High Velocity Data

A Context-Aware Data Reduction Framework for High Velocity Data
type: AcademicArticle
type: Article
abstract: While most of the existing works are focusing on the data reduction of IoT sensor to lower the energy consumption, extend the battery's lifespan, reduce redundant data sensed and transmitted, and eventually lower the communication cost, the data reduction performed in the IoT-gateway seems to be omitted. Besides that, most of the existing works do not consider the behaviour of the user when accessing the data. Therefore, our work aims to focus on data reduction at the IoT-gateway, which is using the user's data access behaviour to reduce the cost of communication between the IoT-gateway and the IoT cloud. In this paper, we proposed a context-aware data reduction framework for high velocity data, such as vibration data. The pattern of user accessing IoT data will be analysed first, and then the IoT-gateway will delay the data uploading process as long as possible before the user accessing the uploaded data. The purpose of delaying the data uploading process is the more data being compressed together, the smaller file size can be obtained. As a result, with the delay of data uploading process at the IoT-gateway, the communication cost can be saved up to 56. © 2022 IEEE.
date: 2022
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ConferenceItemEPrint
is part of: repository

Institute of Electrical and Electronics Engineers Inc.
type: Organization

Eleni G. Symeonaki
type: Person
given name: Eleni G.
family name: Symeonaki

Soung Yue Liew
type: Person
given name: Soung Yue
family name: Liew

Boonyaik Yaik Ooi
type: Person
given name: Boonyaik Yaik
family name: Ooi

Wanqing Ng
type: Person
given name: Wanqing
family name: Ng

Xin Yi Kh'ng
type: Person
given name: Xin Yi
family name: Kh'ng

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primary topic: A Context-Aware Data Reduction Framework for High Velocity Data