As an emerging technology, edge computing will enable traditional sensor networks to be effective and motivate a series of new applications. Meanwhile, limited battery power directly affects the performance and survival time of sensor networks. As an extension application for traditional sensor networks, the energy consumption of Wireless Multimedia Sensor Networks (WMSNs) is more prominent. For the image compression and transmission in WMSNs, consider using solar energy as the replenishment of node energy; a distributed image compression scheme based on solar energy harvesting is proposed. Two level clustering management is adopted. The camera node-normal node cluster enables camera nodes to gather and send collected raw images to the corresponding normal nodes for compression, and the normal node cluster enables the normal nodes to send the compressed images to the corresponding cluster head node. The re-clustering and dynamic adjustment methods for normal nodes are proposed to adjust adaptively the operation mode in the working chain. Simulation results show that the proposed distributed image compression scheme can effectively balance the energy consumption of the network. Compared with the existing image transmission schemes, the proposed scheme can transmit more and higher quality images and ensure the survival of the network.

中文翻译：

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用于能量收集无线多媒体传感器网络的分布式图像压缩方案。

边缘计算作为一种新兴技术，将使传统传感器网络变得有效并激发一系列新应用。同时，有限的电池电量直接影响传感器网络的性能和生存时间。作为传统传感器网络的扩展应用，无线多媒体传感器网络（WMSN）的能耗更加突出。对于WMSN中的图像压缩和传输，请考虑使用太阳能作为节点能量的补充。提出了一种基于太阳能采集的分布式图像压缩方案。采用二级集群管理。相机节点-普通节点群集使相机节点可以收集收集的原始图像并将其发送到相应的普通节点进行压缩，普通节点群集使普通节点能够将压缩的图像发送到相应的群集头节点。提出了正常节点的重新聚类和动态调整方法，以自适应地调整工作链中的运行模式。仿真结果表明，所提出的分布式图像压缩方案可以有效地平衡网络能耗。与现有的图像传输方案相比，该方案可以传输更多，更高质量的图像，并确保网络的生存。仿真结果表明，所提出的分布式图像压缩方案可以有效地平衡网络能耗。与现有的图像传输方案相比，该方案可以传输更多，更高质量的图像，并确保网络的生存。仿真结果表明，所提出的分布式图像压缩方案可以有效地平衡网络能耗。与现有的图像传输方案相比，该方案可以传输更多，更高质量的图像，并确保网络的生存。