Context Recognition of Humans and Objects by Distributed Zero-Energy IoT Devices
Context Recognition of Humans and Objects by Distributed Zero-Energy IoT Devices
复制标题
DOI：
10.1109/icdcs.2019.00177
复制
发表时间：
2019-07
期刊：
影响因子：
--
通讯作者：
T. Higashino;Akira Uchiyama;S. Saruwatari;Hirozumi Yamaguchi;Takashi Watanabe
中科院分区：
文献类型：
--
作者：
T. Higashino;Akira Uchiyama;S. Saruwatari;Hirozumi Yamaguchi;Takashi Watanabe
了解人类及其环境是未来智能社会的智能应用和服务的关键推动因素。为了在我们的环境中部署这些服务，预计将充分利用无电池和免维护的物联网设备和技术，以实现更多的环境分布式计算。近年来，基于Wi-Fi的通信变得更加节能，并且信道状态信息（CSI）具有感测关于真实的世界中的事物的更详细信息的潜力。此外，环境后向散射已成为一种很有前途的零能量传感和通信技术。利用这些最先进的技术，用于人类和物体上下文识别的能量收集物联网设备将成为现实。一个重大的挑战是如何利用劣质、功能较弱的零能耗物联网设备来实现感兴趣的处理，即，人和物体的准确识别，而单个设备无法工作。因此，我们考虑为传感和通信编排分布式微型物联网设备。特别是，本地环境中的分布式机器学习将在我们的周围环境中实现非常有前途的传感。在本文中，我们调查了最先进的技术，零能量传感和通信的背景下，人类和物体的传感和识别。然后，我们解决了在这种分布式，智能传感使用零能量设备方面要解决的挑战。最后，我们介绍了利用分布式物联网设备的概念，然后是关于我们正在进行的未来零能耗传感和处理工作的声明。
Understanding humans and its environment is a key enabler of smart, intelligent applications and services for a future smart society. To deploy such services in our ambient environment, it is expected to fully utilize battery-less and maintenance-free IoT devices and technologies for more ambient, distributed computing. In recent years, Wi-Fi-based communications are becoming more energy-efficient, and channel state information (CSI) has the potential to sense more detailed information about the things in the real world. Besides, ambient backscatter has appeared as a promising technology for zero-energy sensing and communications. Leveraging those state-of-the-art technologies, energy harvested IoT devices for context recognition of humans and objects will be in reality. A significant challenge is how to make use of inferior, less-powerful zero-energy IoT devices to achieve processing of interest, i.e., accurate recognition of humans and objects, while a single device does not work. Therefore, we consider orchestrating distributed tiny IoT devices for both sensing and communications. Particularly, distributed machine learning in the local environment will achieve highly promising sensing in our ambient environment. In this paper, we survey the state-of-the-art technologies for zero-energy sensing and communications in the context of humans and objects sensing and recognition. Then, we address the challenges to be tackled in terms of such distributed, intelligent sensing using zero-energy devices. Finally, we introduce the concept of utilizing distributed IoT devices, followed by the statement about our ongoing work toward future zero-energy sensing and processing.