Development of an Energy-Efficient Patient Monitoring System Using RSSI-Based Wireless Sensor Network with AODV and ZigBee Technology
| Authors | K.I. Gandhi, G. Kannan |
| Affiliations |
Department of Electronics & Communication Engineering, B.S.Abdur Rahman Crescent Institute of Science & Technology, 600048 Chennai, India |
| Е-mail | indra@crescent.education |
| Issue | Volume 16, Year 2024, Number 6 |
| Dates | Received 26 August 2024; revised manuscript received 15 December 2024; published online 23 December 2024 |
| Citation | K.I. Gandhi, G. Kannan, J. Nano- Electron. Phys. 16 No 6, 06005 (2024) |
| DOI | https://doi.org/10.21272/jnep.16(6).06005 |
| PACS Number(s) | 73.61.Jc, 71.20.Mq, 88.40.jj, 88.40.hj |
| Keywords | Wireless sensor network, RSSI, ECG, Energy efficiency, AODV, ZigBee (2) . |
| Annotation |
The AODV (Ad-hoc On-demand Distance Vector) scheme delivers reliable transmission in wireless ad-hoc networks, with loop-free operation, self-starting behavior, and scalability. It streamlines transmission by automatically finding the closest data receiver in an anycast group, minimizing latency. It also enhances path recovery efficiency by initiating restoration from intermediate routers along the original path. Leveraging these capabilities makes AODV highly effective for monitoring elderly patients and those with disabilities. The proposed system integrates Wireless Sensor Nodes (WSNs) to monitor the patient's position using a triaxial accelerometer for fall detection, along with ECG monitoring. These components are integrated into a ZigBee network architecture. The patient's position is relayed to nearby emergency centers via the ZigBee network, utilizing the Received Signal Strength Indicator (RSSI) parameter to identify and designate the nearest center as the destination. Experimental findings using an ARM7 Microcontroller (ARM LPC2148) with a ZigBee transceiver (CC2530) illustrate the system's effectiveness in measuring RSSI values and accurately identifying and transmitting data to the nearest emergency center, showcasing its potential for real-world healthcare monitoring application. |
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