Network statistics‐based routing and path orient data encryption scheme for efficient healthcare monitoring with IoT in WSN

• Published in: International journal of communication systems Vol. 36; no. 1
• Main Author: Vijayakumar, M.
• Format: Journal Article
• Language: English
• Published: Chichester Wiley Subscription Services, Inc 10.01.2023
• Subjects: big data; cloud; Data encryption; Data transmission; Health care; Internet of Things; IoT; Monitoring; NCSRM; Nodes; NSR‐PDE; Packet transmission; Route planning; Route selection; Support systems; Telemedicine; Wireless communications; Wireless sensor networks; WSN
• ISSN: 1074-5351; 1099-1131
• DOI: 10.1002/dac.5361

Summary Wireless communication has been adapted for a variety of difficulties as a result of recent developments in sensor networks. The sensors are meant to communicate with network nodes located at a distance and to adapt to various conditions. In addition, Internet of Things (IoT) devices are becoming a part of WSN and are being tailored to various healthcare systems. Nonetheless, the presence of massive nodes and rogue nodes makes transmitting data packets difficult. The procedure, however, confronts a number of obstacles, including data security, continuous monitoring, and routing issues. A variety of ideas are explored to help with the situation, but they all have flaws. A network statistics‐based routing and path orient data encryption system has been developed to address this problem (NSR‐PDE). The strategy focuses on keeping track on patients and providing strong, decisive support systems. The model is created to access data stored on cloud servers and allows for the monitoring of multiple patients in different locations. The model begins by monitoring the whole bodily states of patients in real time using dedicated equipment. Such monitored characteristics are provided over a variety of channels, with route selection based on the patient's class and the type of information being transmitted. The approach calculates the network constraint secure route measure (NCSRM), which is calculated using route information, node behavior, and physical attributes. Similarly, data transmission is protected by path orient data encryption (PDE), which ensures data security according on the route's type and conditions. In this study, we present the findings of a data security and healthcare monitoring project using WSN and a novel network statistic routing and path orient data encryption technique for efficient healthcare monitoring. This model monitors the patient and sends various parameters to a cloud‐based data server, which detects routes and computes the value of a node‐centric secure route measure based on the presence of IoT devices and sensor nodes. The proposed method achieves superior performance in healthcare monitoring and recommendation generating while requiring less time and effort.