SAR ADC - Binary Search Algorithm for Highly Encrypted Wearable Medical Devices Used in Hostile Environment

Abstract

Wearable and implantable medical devices are revolutionizing health-care today with lab-on-a-chip technologies because they can register a wide range of physiological and environmental parameters. Implantable Medical Devices (IMDs) and Wearable Medical Devices (WMDs) with bio-sensors have modernized the way high-quality, safe health care is delivered. The wearable device is more readily available than IMDs and does not require additional installation expenditures. It is critical to find solutions for battery depletion, resolution, and data prevention in Wearable Medical Devices (WMDs). The purpose of this paper is to provide a strategy for overcoming current wearable technology challenges. SAR-ADC has a flexible binary search approach, good power efficiency, and high resolution, and the recommended system aids in wearable sensor node reconfigurability. Wearable Medical Devices could generate medical data and communicate it via wireless networks to a cloud-based system. During the data transfer to the cloud, the Man in the Middle will steal confidential medical information. Advanced Encryption Standard (AES) methods are active in Wireless Sensor Networks (WSNs) to safety net the data from loss or stealing of data. AES is a hardware-based encryption method that safeguards data from a variety of threats. As a result, the suggested system uses the AES algorithm to transform data that un-encrypted into encrypted data. The 128 bit AES algorithm was used with the XILINX 14.5 software, yielding a result of 7.528 ns minimum time and 296.8MHz frequency, with a throughput of 1.70 GB/s.