relation: https://khub.utp.edu.my/scholars/20422/
title: A Users' Behavior-Aware Data Reduction Framework for Internet of Things (IoT)
creator: Ng, Wanqing
creator: Ooi, Boonyaik Yaik
creator: Liew, Soung Yue
creator: Cheng, Wai Khuen
creator: Tan, Teik Boon
creator: Lin, Jimmin Min
creator: Hong, Zengwei
description: 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.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2024
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Ng, Wanqing and Ooi, Boonyaik Yaik and Liew, Soung Yue and Cheng, Wai Khuen and Tan, Teik Boon and Lin, Jimmin Min and Hong, Zengwei  (2024) A Users' Behavior-Aware Data Reduction Framework for Internet of Things (IoT).  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205771420&doi=10.1109%2FICCE-Taiwan62264.2024.10674330&partnerID=40&md5=a196d4c2e9b960ba04e6f1dc8d609df3
relation: 10.1109/ICCE-Taiwan62264.2024.10674330
identifier: 10.1109/ICCE-Taiwan62264.2024.10674330