ENERGY EFFICIENT IOT HEALTHCARE THROUGH WIRELESS SENSOR NETWORKS

Authors

  • S. Prasath VET Institute of Arts and Science (Co-Edu) College, Erode, Tamil Nadu, India Author
  • K. S. Mohanasathiya VET Institute of Arts and Science (Co-Edu) College, Erode, Tamil Nadu, India. Author
  • V. K. Narendira Kumar Gobi Arts & Science College (Autonomous), Gobichettipalayam, Erode, Tamil Nadu, India. Author

Keywords:

wireless sensor networks; sensor nodes; energy saving; health care monitoring; internet of things

Abstract

Wireless Sensor Networks (WSN) often perform autonomous identification and management of the items of the physical world using sensor nodes distributed throughout the globe. These sensor nodes are powered by batteries using Internet of Things (IoT) and were important to the implementation of sensor nodes. Thus, it is necessary to decrease the amount of energy used in edict so as to increase the network life expectancy of healthcare systems. Consideration of the information flow observed is important when developing a WSN. Ideals of wireless technology like IEEE 802.15.4 are followed in order to facilitate data transfer. These specifications also provide optimal end to end connectivity and ideal pathways in the event of the application of the proposed Energy Optimization Technique. In order to achieve efficient data delivery to health care tracking, the suggested approach has enhanced the quality of data packet signal by 25 and has also contributed to the survivability of WSN. In order to demonstrate the efficiency of the suggested system in terms of the indicators of the quantity of the energy effectiveness, the existence of live nodes, packet distribution, and the communication latency in the system, the results of the experiment are compared to the state-of-the-art techniques.

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Published

14-05-2026

How to Cite

S. Prasath, K. S. Mohanasathiya and V. K. Narendira Kumar (2026) “ENERGY EFFICIENT IOT HEALTHCARE THROUGH WIRELESS SENSOR NETWORKS”, Journal of Intelligent Machine Learning and IoT Enabled Applications, 2(1), pp. P 72–86. Available at: https://jiml-iea.com/index.php/ml/article/view/88 (Accessed: 14 May 2026).

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