IOT-Based Smart Healthcare Data Transmission Using Enhanced Clustering Strategies
Abstract
The rapid growth of Internet of Things (IoT) technologies has significantly transformed healthcare monitoring systems by enabling continuous collection and transmission of patient data. However, efficient and reliable data transmission remains a major challenge due to network congestion, limited energy resources, and scalability issues in IoT environments. This paper proposes an enhanced clustering-based framework to improve healthcare data transmission in IoT networks.In the proposed approach, sensor nodes are initially organized into clusters using a middle-order clustering mechanism to optimize network structure and reduce communication overhead. An efficient data transmission strategy is then applied to select optimal paths within clustered networks. Additionally, a Routing Protocol for Low-Power and Lossy Networks (RPL) based routing mechanism with handshake computation is implemented to enhance communication reliability and extend the network lifetime in multimedia IoT environments.The proposed MOOR strategy is evaluated through simulation under multiple network conditions. Performance metrics such as control overhead and packet delivery ratio (PDR) are analyzed to measure the efficiency of the system. The simulation results demonstrate that the proposed approach achieves improved packet delivery performance and reduced control overhead compared with conventional methods, making it suitable for reliable healthcare data communication in IoT-based monitoring systems.
References
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