FRAMEWORKS FOR DATA TRANSMISSION IN SMART SYSTEMS: INTEGRATING WBAN, VANET, AND IOT FOR SEAMLESS COMMUNICATION IN HEALTHCARE AND VEHICULAR NETWORK

Authors

  • Prianka RR Senior Assistant professor, Department of AIML, New Horizon College of Engineering, Bangalore, India Author
  • E U Iniyan Assistant Professor, Department of Electronics and Communication Engineering, Tiruvallur, India Author

Keywords:

Wireless Body Area Network; Vehicular Ad-Hoc Network; Internet of Things; Smart Healthcare Systems; Vehicle-to-Infrastructure Communication

Abstract

The integration of the Wireless Body Area Networks (WBAN), Vehicular Ad Hoc Networks (VANET), and the Internet of Things (IoT) can be described as a possible way of ensuring the uninterrupted communication between the medical and vehicle networks. This structure is aimed at facilitating successful communication of information through the application of the specific features of each type of network. WBANs are used to monitor physiological conditions and vital signs through constant health surveillance based on information acquired by wearable sensors. VANETs enhance the navigating, security, Report Word and congestion control because they facilitate dynamic and rapid communication between structures and vehicles. IoT allows various smart objects to interact and create one ecosystem in which they exchange information and make decisions. The recommended paradigm addresses the following concerns: privacy of information, network overloading, and environmental conservation through focus on connectivity, security and the transmission of minimum latency. The integration of these approaches has seen the structure hope to enable improved medical programs, better traffic flow, better safety on the roads, and better real time monitoring all of which shall lead to better intelligence, and receptive and networked systems.

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Published

18-02-2026

How to Cite

Prianka RR and E U Iniyan (2026) “FRAMEWORKS FOR DATA TRANSMISSION IN SMART SYSTEMS: INTEGRATING WBAN, VANET, AND IOT FOR SEAMLESS COMMUNICATION IN HEALTHCARE AND VEHICULAR NETWORK”, Journal of Intelligent Machine Learning and IoT Enabled Applications, 2(2), pp. 15–28. Available at: https://jiml-iea.com/index.php/ml/article/view/64 (Accessed: 18 February 2026).

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