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Robust Optimal Selection of Radio Type and Transmission Power for Internet of Things

机译:物联网的无线电类型和传输功率的鲁棒优化选择

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Research efforts over the last few decades produced multiple wireless technologies, which are readily available to support communication between devices in various dynamic Internet of Things (IoT) and robotics applications. However, single radio technology can hardly deliver optimal performance across all critical quality of service (QoS) dimensions under the typically varying environmental conditions or under varying distance between communicating nodes. Using a single wireless technology therefore falls short of meeting the demands of varying workloads or changing environmental conditions. Instead of pursuing a one-radio-fits-all approach, we design ARMS, an Adaptive Radio and Transmission Power Selection system, which makes available at runtime multiple wireless technologies (e.g., WiFi and ZigBee) and selects the radio(s) and transmission power(s) most suitable for the current conditions and requirements. The principal components of ARTPoS include new empirical models of power consumption and packet reception ratio (the latter can also be refined online) and online optimization schemes. We have implemented our system and evaluate it on the physical testbed consisting of our new embedded platforms with heterogeneous radios. Experimental results show that ARTPoS can significantly reduce the power consumption, while maintaining desired link reliability, compared to standard baselines.
机译:在过去的几十年中,研究工作产生了多种无线技术,这些技术可随时用于支持各种动态物联网(IoT)和机器人应用程序之间的通信。但是,在通常变化的环境条件下或在通信节点之间的距离变化时,单个无线电技术几乎无法在所有关键服务质量(QoS)维度上提供最佳性能。因此,使用一种无​​线技术无法满足不断变化的工作负载或不断变化的环境条件的需求。我们没有采用一种“一劳永逸”的方法,而是设计了一种自适应无线电和传输功率选择系统ARMS,该系统在运行时提供多种无线技术(例如WiFi和ZigBee),并选择无线电和传输方式最适合当前条件和要求的功率。 ARTPoS的主要组成部分包括功耗和数据包接收率的新经验模型(后者也可以在线优化)和在线优化方案。我们已经实施了我们的系统,并在包含带有异构无线电的新嵌入式平台的物理测试台上对其进行了评估。实验结果表明,与标准基准相比,ARTPoS可以显着降低功耗,同时保持所需的链路可靠性。

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