A Semantic Communication Based Wireless Image Transmission for Internet of Things Devices

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.