Energy-Efficient Residue Number System (EERNS) Based Wireless Sensor Networks in Healthcare Systems (Published)
Amongst the numerous Technological Advancements (TA) in the healthcare service delivery system, Wireless Sensor Networks (WSNs) have played a pivotal role in how networks handle the collection and processing of patient’s data from cognitive, physical, physiological, and behavioral patterns, (WSNs) in healthcare system have bridged the gap and enhance the standard by which healthcare practitioners monitor, collect and interpret data through sensor node from patients however, this has brought peculiar challenges such as noise, speed memory utilization, overflow detection along with it. There is an emphasis on time when monitoring and diagnosing patients. WSNs based on the Residue Number System (RNS) offer time-sensitive interventions through wearable and implantable sensors, which can enhance numerous issues in the healthcare service delivery system. The potential benefits of these systems are significant, but the main barriers to adoption include poor energy performance, delayed processing, and security concerns. This study adopts RNS arithmetic, which operates independently between residues by executing position-independent operations that lead to both improved processor speed and parallel computing capability. WSNs leverage this mathematical approach because of their resource constraints during operation. medical practitioners researchers have relied on various methods for the collection of patient data, which have often shown some inconsistencies like manual measurement using stethoscopes instruments and a thermometer, etc.; these existed constraints where healthcare providers are limited in their ability to share patient’s data between themselves. Result finding in this work WSNs based RNS has proved against this backdrop that network has shown to be a game changer in the healthcare sector.
Keywords: healthcare service delivery system, residue number system (RNS), wireless sensor network (WSN)