Edge computing has enabled extensive reasoning capabilities at the edge of the network. Edge nodes have direct access to edge sources (e.g., sensors, devices) to read and process relevant data, while each sensor/device manufacturer uses their bespoke protocols in the Internet of Things (IoT) environment, hence, addressing compatibility problems to ensure seamless access has become a cumbersome task. A conventional solution is to save all sensor/device protocols in an edge node, however, which brings higher redundancy and hardware expenditure. Hence, we propose a dynamic edge access system (DEA) built on a collaborative IoT architecture. It solves the compatibility issues with low redundancy by customizing access programs. Besides, embedded programmable logic controllers are designed as edge nodes and have been applied in around 78 000 base stations. After implementing DEA, the analysis illustrates that the average improvement of every station’s protocol utilization is 96.3% and 66.6%, while the memory footprint is decreased to 4.5% and 33.3% compared with the conventional solution and global dynamic reconfiguration method.

中文翻译：

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物联网环境中的动态边缘接入系统


边缘计算在网络边缘实现了广泛的推理能力。边缘节点可以直接访问边缘源（例如传感器、设备）来读取和处理相关数据，而每个传感器/设备制造商在物联网（IoT）环境中使用其定制协议，因此解决了兼容性问题以确保无缝访问已成为一项繁琐的任务。传统的解决方案是将所有传感器/设备协议保存在边缘节点中，但这带来了更高的冗余和硬件支出。因此，我们提出了一种基于协作物联网架构的动态边缘访问系统（DEA）。通过定制接入程序，解决了低冗余的兼容性问题。此外，嵌入式可编程逻辑控制器被设计为边缘节点，已应用于约78 000个基站。分析表明，实施DEA后，与传统方案和全局动态重配置方法相比，每个站点的协议利用率平均提高了96.3%和66.6%，而内存占用减少到4.5%和33.3%。