Communication in extreme environments is an important research topic for various use cases including environmental monitoring. A typical example is underwater acoustic communication for 6G mobile networks. The major challenges in such environments are extremely high-latency and high-error rate. They make real-time image transmission difficult using existing communication protocols. This is partly because frequent retransmission in noisy networks increases latency and leads to serious deterioration of real-timeness. To address this problem, this paper proposes a stochastic image transmission with Constrained Application Protocol (CoAP) for extreme environments. The goal of the proposed idea is to achieve approximate real-time image transmission without retransmission using CoAP over UDP. To this end, an image is divided into blocks, and value is assigned for each block based on the requirement. By the stochastic transmission of blocks, the reception probability is guaranteed without retransmission even when packets are lost in networks. We implemented the proposed scheme using Raspberry Pi 4 to demonstrate the feasibility. The performance of the proposed image transmission was confirmed from the experimental results.
翻译:极端环境中的通信是包括环境监测在内的各种使用案例的一个重要研究课题。典型的例子之一是6G移动网络的水下声学通信。这类环境中的主要挑战是极高的纬度和高error率。它们使得利用现有通信协议的实时图像传输变得困难。部分原因是噪音网络的频繁再传输增加了延缓性,导致实时性严重恶化。为解决这一问题,本文件建议与受控制的应用协议(CoAP)一起对极端环境进行随机图像传输。拟议构想的目标是实现近乎实时的图像传输,而无需使用COAP对UDP进行再传输。为此,图像分为块块,并根据要求为每个区段分配价值。通过区块的随机传输,保证接收概率不受再传输,即使组合在网络中丢失了包。我们实施了使用Raspberry Pi 4来证明可行性的拟议计划。拟议图像传输的绩效得到了实验结果的证实。