Strategies for Achieving Energy Efficiency and Data Security Through Data Aggregation in IoT Healthcare Applications: A Comprehensive Study
Ganesh Srinivasa Shetty, N. Raghu · International Journal of Computer Networks And Applications · 2024
The healthcare sector has been completely transformed using the internet of technology (IoT) for patient monitoring, diagnosis, and treatment.The Data aggregation (DA) plays a crucial role in achieving both energy efficiency and data security goals in IoT based healthcare systems.The sensitive nature of health data, coupled with the interconnectedness of IoT devices raises significant data sensitivity and privacy concerns.The primary intention of this review is a thorough analysis of several protocols for data aggregation that have been developed to deal with problems such as energy consumption and data security in IoT networks.Since the invention of blockchain technology, many studies have investigated its potential application in the IoT to resolve security issues.Many systems aim to improve network lifetime by scheduling duty cycles; however, they struggle to manage redundant data and have deprived throughput.Cluster-based data aggregation algorithms remove redundancy and conserve energy.This overview highlights interesting future research topics in the areas of energy efficiency in IoTs, security and privacy of user data maintenance problems, and integration of machine learning and blockchain algorithms.