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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Data-Centric Routing for Intra Wireless Body Sensor Networks.

Javed Iqbal Bangash¹, Abdul Waheed Khan, Abdul Hanan Abdullah

¹Faculty of Computing, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia, ibjaved2@live.utm.my.

Journal of Medical Systems

|August 6, 2015

Summary

This summary is machine-generated.

This study introduces a new data-centric routing method for Wireless Body Sensor Networks (WBSNs) to improve continuous health monitoring for elderly patients. The adaptive strategy enhances reliability and reduces delay and sensor temperature for better healthcare outcomes.

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Area of Science:

Biomedical Engineering
Wireless Communication Networks
Health Informatics

Background:

Elderly populations with chronic diseases incur high healthcare costs.
Wireless Body Sensor Networks (WBSNs) offer a cost-effective solution for continuous health monitoring.
WBSNs require high Quality of Service (QoS) for reliable data transmission.

Purpose of the Study:

To propose a novel data-centric routing strategy for intra-WBSNs.
To address challenges including sensor temperature rise and dynamic path loss.
To enhance QoS parameters like delay and reliability in WBSNs.

Main Methods:

Developed a data-centric routing protocol for WBSNs.
Considered network models with and without relay nodes.
Evaluated routing strategy based on data nature, sensor temperature, and path loss.

Main Results:

The proposed routing strategy demonstrated superior performance.
Achieved improvements in delay and reliability.
Successfully managed sensor temperature rise and energy consumption.

Conclusions:

The adaptive data-centric routing enhances WBSN performance for elderly healthcare.
The strategy effectively mitigates key challenges in in-body communication.
Offers a promising approach for efficient and reliable remote patient monitoring.