Dr. Amitabh Mishra

Industrial Internet of Things (IIoT) is focused on optimization of industrial working in several fields including assembly lines, manufacturing processes and production of any kind, including agriculture. As the equipment and system are data intensive and largely dependent on wireless transmission of data from the interface point of the primary sensing element to where it is going to be utilised, adding cognitive capabilities to the radio system involved can add benefits of optimal utilisation of the frequency spectrum and faster transmission of critical process data. IIoT also offers advanced functionalities such as preventive maintenance, asset tracking and better optimized resources in the operation and control of industrial processes for manufacturing, production, or processing. This chapter focuses on the evolution of the sensors and process control equipment from traditional versions to those being used today for IIoT.

Wireless Internet of Things (WIoT), based on the concept of ubiquitous computing, attempts to create communication networks by embedding microchips in everyday consumer electronic devices and to set those devices up to share data with each other to provide innovative connected solutions. With the explosion in the number and variety of wireless applications in the last two decades, all of them face a major challenge of availability of frequency spectrum. This challenge can be addressed by resorting to cognitive radio. The cognitive radio scheme uses a radio system that can make an informed decision to dynamically fine-tune its radio operation metrics as it can sense and is mindful of its operational setting. Combining the cognitive radio technology with WIoT can make the application design more robust and universal. In this paper, we discuss the possibilities and challenges involving such cognitive sensors, used for environmental sensing and healthcare applications.

Healthcare, lifestyle, and medical applications of Internet of Things (IoT) involve the use of wearable technology that employs sensors of various kinds to sense human physiological parameters such as steps walked, body temperature, blood pressure, heart rate and other cardiac parameters. Such sensors and associated actuators can be worn as gadgets, embedded in clothing, worn as patches in contact with the body and could even be implanted inside the body. These sensors are electronic, and any electronic activity during their sensing, processing and wireless transmission is associated with the generation of heat. This dissipated heat can cause discomfort to the subject and has the potential of damaging healthy living tissue and cells. In the proposed work, the author does a performance check on the intrinsic safety aspects of an IoT healthcare network with respect to the functioning of the wireless sensors involved and routing of sensor data samples. The author also suggests an optimized thermal and energy aware framework to address the issue of temperature rise due to processing and data transmission from sensors through signal processing approaches that help in reducing thermal hazards and simultaneously enhancing the network lifetime through energy conservation.