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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Principais autores:	Ammar Said Nasif, Zulaiha Ali Othman, Nor Samsiah Sani, Mohammad Kamrul Hasan, Yousra Abudaqqa
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2024-01-01
Serija:	IEEE Access
Teme:	Compression data traffic deep learning IoT IoT edge node IoT network
Online dostop:	https://ieeexplore.ieee.org/document/10662892/
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