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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Veröffentlicht in:	IEEE access 2024, Vol.12, p.122988-122997
Hauptverfasser:	Said Nasif, Ammar, Ali Othman, Zulaiha, Samsiah Sani, Nor, Kamrul Hasan, Mohammad, Abudaqqa, Yousra
Format:	Artikel
Sprache:	eng
Schlagworte:	Compression Compression algorithms Data compression data traffic Deep learning Entropy Internet of Things IoT IoT edge node IoT network pooling pruning Random access memory sensor Smart cities smart city Symbols Traffic control Wireless sensor networks WSN
Online-Zugang:	Volltext
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