Intelligent Power Control Models for the IOT Wearable Devices in BAN Networks
Prasath Gurusamy Arul, M. Meenakumari, L Saravanan., N Revathi, S. Jayaprakash, Subbiah Murugan
Abstract
The Internet of Things (IoT) is another useful perspective that brings questions from different disciplines together over the Internet. As more wearable technologies become available on the market, teleworking in Wearable Wireless Body Area Networks (WBAN) is becoming more widespread for Internet of Things-related medical applications. This article proposes a solar-powered wearable touch sensor based on a complete social network (SPWT) and Wi-Fi transmission that connects to a WBAN. Different focal points of the sensor network can be assigned to different points in the frame to determine a person's core temperature and heart rate and understand falls. Software for mobile phones and smartphones that displays sensor data and alerts of falls has also been developed. This software includes a web interface. To increase the service life of the central part of the wearable sensor, the pressure in the middle part mainly uses a full-strength flexible solar-oriented sensor with the result based on superior technology like Maximum power point tracking (MPPT). Preliminary results show that the average element of the wearable sensor performs well, although limited by a fully controlled daylight-based power source. The button-less 24-hour movement is incubated with an initial effect. The proposed local energy storage-based photovoltaic device suggests that WBAN-based long-term continuous medical surveillance is possible because the situation is away from home for a short time per day.