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Heterogeneous LoRa-Based Wireless Multimedia Sensor Network Multiprocessor Platform for Environmental Monitoring

机译:基于LoRa的异构无线多媒体传感器网络多处理器平台用于环境监测

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摘要

The acquisition of data in protected natural environments is subordinated to actions that do not stress the life-forms present in that environment. This is why researchers face two conflicting interests: autonomous and robust systems that minimize the physical interaction with sensors once installed, and complex enough ones to capture and process higher volumes of data. On the basis of this situation, this paper analyses the current state-of-the-art of wireless multimedia sensor networks, identifying the limitations and needs of these solutions. In this sense, in order to improve the trade-off between autonomous and computational capabilities, this paper proposes a heterogeneous multiprocessor sensor platform, consisting of an ultra-low power microcontroller and a high-performance processor, which transfers control between processors as needed. This architecture allows the shutdown of idle systems and fail-safe remote reprogramming. The sensor equipment can be adapted to the needs of the project. The deployed equipment incorporates, in addition to environmental meteorological variables, a microphone input and two cameras (visible and thermal) to capture multimedia data. In addition to the hardware description, the paper provides a brief description of how long-range (LoRa) can be used for sending large messages (such as an image or a new firmware), an economic analysis of the platform, and a study on energy consumption of the platform according to different use cases.
机译:在受保护的自然环境中获取数据属于不影响该环境中存在的生命形式的行为。这就是为什么研究人员面临两个相互冲突的利益的原因:一旦安装,自动和健壮的系统将与传感器的物理交互减至最少,而复杂的系统则足以捕获和处理大量数据。在这种情况下,本文分析了无线多媒体传感器网络的最新技术,确定了这些解决方案的局限性和需求。从这个意义上讲,为了改善自主能力和计算能力之间的平衡,本文提出了一种异构的多处理器传感器平台,该平台由超低功耗微控制器和高性能处理器组成,可根据需要在处理器之间转移控制权。这种体系结构允许关闭空闲系统并进行故障安全的远程重新编程。传感器设备可以适应项目需求。除环境气象变量外,已部署的设备还集成了麦克风输入和两个摄像头(可见光和热成像仪)以捕获多媒体数据。除了硬件描述外,本文还简要介绍了如何使用远程(LoRa)发送大型消息(例如图像或新固件),对该平台进行经济分析以及对根据不同用例的平台能耗。

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