With a growing interest in the Internet of Things (IoT), the businesses are undergoing a revolution in the way they monitor and control. In the recent past, many applications were developed using the IoT system architectures in various business verticals such as industrial, healthcare, farming, transportation, etc. However, with the development of low-complex artificial intelligence frameworks which are capable of operating on the edge devices, the IoT architectures have taken a major leap leading to the Internet of Intelligent Things (IoIT). In this paper, we discuss our focused research and applications of IoIT across the following verticals: (1) healthcare, (2) smart buildings, (3) farming, along with the recent state of the art methodologies and future challenges. Under the healthcare, we laid our main focus on the development of AI enabled computer-aided diagnosis framework, which acquires the scanning information from a wireless ultrasound transducer and automatically identifies the abnormalities present. Also, we developed a low-complex brain-controlled IoT environments framework which automatically classifies the motor imagery task performed by the user using 22 channel electroencephalography. Using IoIT, we developed a novel non-invasive technology capable of monitoring various electrical parameters without any need for cutting the wires. This developed non-invasive power monitor is capable of generating real-time alerts in the case of system malfunctions and will be a key enabler for smart buildings. Also, we developed mathematical, simulation, and experimental models for analyzing the performance of channel access mechanisms of dense traffic IoT networks.

中文翻译：

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使用智能物联网构建更智能的生态系统：进步与未来挑战

随着人们对物联网（IoT）的兴趣日益浓厚，企业的监视和控制方式正在发生一场革命。最近，在工业，医疗保健，农业，运输等各个行业中，使用物联网系统架构开发了许多应用程序。但是，随着能够在边缘运行的低复杂度人工智能框架的发展设备方面，物联网架构已迈出了一大步，导致了智能物联网（IoIT）。在本文中，我们将讨论以下几个垂直领域对IoIT的重点研究和应用：（1）医疗保健，（2）智能建筑，（3）农业以及最新的技术方法和未来的挑战。在医疗保健下 我们将重点放在开发支持AI的计算机辅助诊断框架上，该框架从无线超声换能器获取扫描信息并自动识别存在的异常。此外，我们开发了一种低复杂度的大脑控制的IoT环境框架，该框架使用22通道脑电图对用户执行的运动成像任务进行自动分类。使用IoIT，我们开发了一种新颖的非侵入性技术，能够监控各种电气参数，而无需切断电线。这种开发的非侵入式电源监控器能够在系统出现故障时生成实时警报，并将成为智能建筑的关键推动力。此外，我们开发了数学，模拟，