Stochastic Image Transmission with CoAP for Extreme Environments
Stochastic Image Transmission with CoAP for Extreme Environments
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DOI：
10.1109/vtc2022-spring54318.2022.9860969
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发表时间：
2022-05
期刊：
影响因子：
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通讯作者：
Erina Takeshita;Asahi Sakaguchi;D. Hisano;Yoshiaki Inoue;K. Maruta;Yuko Hara-Azumi;Yu Nakayama
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文献类型：
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作者：
Erina Takeshita;Asahi Sakaguchi;D. Hisano;Yoshiaki Inoue;K. Maruta;Yuko Hara-Azumi;Yu Nakayama
极端环境中的通信是包括环境监测在内的各种用例的重要研究课题。一个典型的例子是用于6G移动的网络的水声通信。这种环境中的主要挑战是极高的延迟和高错误率。它们使得使用现有通信协议的实时图像传输变得困难。这部分是因为在嘈杂的网络中频繁的重传增加了延迟，导致实时性的严重恶化。为了解决这个问题，本文提出了一种随机图像传输与约束应用协议（CoAP）的极端环境。所提出的想法的目标是实现近似实时的图像传输，而无需使用CoAP通过UDP进行重传。为此，图像被划分为块，并且基于要求为每个块分配值。通过块的随机传输，即使当分组在网络中丢失时，也可以保证接收概率而无需重传。我们使用Raspberry Pi 4实现了所提出的方案，以证明其可行性。实验结果证实了所提出的图像传输的性能。
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.