TY  - CONF
ID  - scholars20422
AV  - none
SN  - 9798350386844
SP  - 239 
A1  - Ng, Wanqing
A1  - Ooi, Boonyaik Yaik
A1  - Liew, Soung Yue
A1  - Cheng, Wai Khuen
A1  - Tan, Teik Boon
A1  - Lin, Jimmin Min
A1  - Hong, Zengwei
N2  - 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.
KW  - reductions; Bandwidth usage; Continuous data transmissions; Data volume; Energy-consumption; Internet of thing gateway; Internet of thing-gateway; Large amounts of data; User behaviors; Volume data; Data transfer
Y1  - 2024///
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205771420&doi=10.1109%2FICCE-Taiwan62264.2024.10674330&partnerID=40&md5=a196d4c2e9b960ba04e6f1dc8d609df3
TI  - A Users' Behavior-Aware Data Reduction Framework for Internet of Things (IoT)
N1  - Cited by: 0
PB  - Institute of Electrical and Electronics Engineers Inc.
EP  -  240
ER  -