Message queuing telemetry transport has emerged as a promising communication protocol for resource-constrained electric Internet of things due to high bandwidth utilization, simple implementation, and various quality of service levels. Enabled by message queuing telemetry transport, electric Internet of things gateways adopt dynamic protocol adaptation, conversion, and quality of service level selection to realize bidirectional communication with massive devices and platforms based on heterogeneous communication protocols. However, protocol adaptation and quality of service guarantee in message queuing telemetry transport-empowered electric Internet of things still faces several challenges, such as unified communication architecture, differentiated quality of service requirements, lack of quality of service metric models, and incomplete information. In this paper, we first establish a unified communication architecture for message queuing telemetry transport-empowered electric Internet of things for adaptation and conversion of heterogeneous protocols. Second, we formulate the quality of service level selection optimization problem to minimize the weighted sum of packet-loss ratio and delay. Then, a delay-reliability-aware message queuing telemetry transport quality of service level selection algorithm based on upper confidence bound is proposed to learn the optimal quality of service level through dynamically interacting with the environment. Compared with single and fixed quality of service level selection strategies, delay-reliability-aware message queuing telemetry transport quality of service level selection can effectively reduce the weighted sum of delay and packet-loss ratio and satisfy the differentiated quality of service requirements of electric Internet of things.

中文翻译：

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消息队列遥测传输赋能电力物联网的延迟可靠性感知协议适配和服务质量保障

消息队列遥测传输由于带宽利用率高、实现简单和服务质量等级多样，已成为资源受限的电力物联网的一种很有前途的通信协议。通过消息队列遥测传输使能，电动物联网网关采用动态协议适配、转换和服务质量等级选择，实现与基于异构通信协议的海量设备和平台的双向通信。然而，消息队列遥测传输赋能的电力物联网中的协议适配和服务质量保障仍面临统一通信架构、服务质量需求差异化、服务质量度量模型缺失、和不完整的信息。在本文中，我们首先建立了一个统一的通信架构，用于消息队列遥测传输赋能的电力物联网，用于异构协议的适配和转换。其次，我们制定了服务质量级别选择优化问题，以最小化丢包率和延迟的加权和。然后，提出了一种基于上置信界的延迟可靠性感知消息队列遥测传输服务质量选择算法，通过与环境的动态交互来学习最优服务质量。与单一且固定的服务质量等级选择策略相比，