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primary topic: A Users' Behavior-Aware Data Reduction Framework for Internet of Things (IoT)

A Users' Behavior-Aware Data Reduction Framework for Internet of Things (IoT)
type: AcademicArticle
type: Article
abstract: In IoT network, a large amount of data is generated and transferred from the sources to destinations every day. The increasing data volume and continuous data transmission bring challenges to existing IoT system, such as the increased energy consumption and bandwidth usage, especially for battery-operated or cellular-connected IoT devices. Despite many researchers are working on these challenges, most of them are focused on the backend of IoT system, little attention has been given to the front-end data in the data reduction of IoT system. Therefore, we propose a users' behavior-aware data reduction framework for IoT, with the aim to provide a novel approach to data reduction in IoT. Consequently, our proposed methods can achieve a reduction of the amount of accumulated data transferred up to 65. © 2024 IEEE.
date: 2024
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ConferenceItemEPrint
is part of: repository

Institute of Electrical and Electronics Engineers Inc.
type: Organization

Zengwei Hong
type: Person
given name: Zengwei
family name: Hong

Teik Boon Tan
type: Person
given name: Teik Boon
family name: Tan

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

Wai Khuen Cheng
type: Person
given name: Wai Khuen
family name: Cheng

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

Jimmin Min Lin
type: Person
given name: Jimmin Min
family name: Lin

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

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primary topic: A Users' Behavior-Aware Data Reduction Framework for Internet of Things (IoT)