Huffman Deep Compression of Edge Node Data for Reducing IoT Network Traffic

Huffman Deep Compression of Edge Node Data for Reducing IoT Network Traffic

Data compression at the Internet of Things (IoT) edge node aims to minimize data traffic in smart cities. The traditional Huffman Coding Algorithm (HCA) is shown as the most effective compression algorithm for sensor data. However, implementing the algorithm at IoT edge nodes is hindered due to memo...

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Bibliographic Details
Main Authors: Ammar Said Nasif, Zulaiha Ali Othman, Nor Samsiah Sani, Mohammad Kamrul Hasan, Yousra Abudaqqa
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Compression
data traffic
deep learning
IoT
IoT edge node
IoT network
Online Access:https://ieeexplore.ieee.org/document/10662892/

Internet

https://ieeexplore.ieee.org/document/10662892/

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