@inproceedings{8e341b44e1c74963a675bcf245348ca3,
title = "A Semantic Communication Based Wireless Image Transmission for Internet of Things Devices",
abstract = "In recent years, wildfires occur frequently as global warming. People set a large number of sensors to monitor the wild land. However, the poor network in remote area can hardly afford the big data transmission while low delay. In this paper, we firstly propose a semantic communication framework, which consists of the GAN-based semantic extraction and LDPC code. To make it affordable for Internet of Things (IoT) devices, we then compression the pre-trained model by parameters pruning and clustering with the acceptable price of inference performance. Based on our analysis, the proposed semantic communication system can significantly reduce the volume of transmission data by extracting the semantic information of images and preform robustness in fading channel.",
keywords = "Image compression, Internet of Things, Semantic communication",
author = "Rangang Zhu and Shengxian Huang and Chenguang He and Shaojing Su and Hao Chen",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; International Conference on Communications, Signal Processing, and Systems, CSPS 2023 ; Conference date: 22-07-2023 Through 23-07-2023",
year = "2024",
doi = "10.1007/978-981-99-7505-1\_37",
language = "英语",
isbn = "9789819975396",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "357--368",
editor = "Wei Wang and Xin Liu and Zhenyu Na and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 12th International Conference on Communications, Signal Processing, and Systems",
address = "德国",
}