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Related Experiment Video

Updated: Feb 22, 2026

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

Link Scheduling Algorithm with Interference Prediction for Multiple Mobile WBANs.

Thien T T Le¹, Sangman Moh²

¹Department of Computer Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 61452, Korea. thienle@chosun.kr.

Sensors (Basel, Switzerland)

|September 29, 2017

Summary

This summary is machine-generated.

This study introduces a link scheduling algorithm with interference prediction (LSIP) to manage multiple mobile wireless body area networks (WBANs). LSIP enhances e-healthcare by enabling simultaneous WBAN transmissions, improving network performance and reducing interference.

Keywords:

interference interference prediction link scheduling medium access control mobility wireless body area network

Related Experiment Videos

Last Updated: Feb 22, 2026

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

Area of Science:

Wireless communication networks
Healthcare technology
Network performance optimization

Background:

Wireless Body Area Networks (WBANs) are crucial for e-healthcare systems.
The mobility of WBANs leads to unpredictable network performance issues.
Overlapping transmission ranges of nearby WBANs cause inter-WBAN interference.

Purpose of the Study:

To propose a link scheduling algorithm with interference prediction (LSIP) for multiple mobile WBANs.
To enable simultaneous data transmission among multiple mobile WBANs without interference.
To enhance the reliability and efficiency of e-healthcare systems.

Main Methods:

The LSIP algorithm utilizes a superframe structure with distinct phases for interfering and non-interfering nodes.
Contention access employs Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA).
Scheduled access uses Time Division Multiple Access (TDMA).
Interference prediction involves defining 'interference duration' and employing a Bayesian model to estimate interference using Signal to Interference plus Noise Ratio (SINR) and the number of neighboring WBANs.

Main Results:

The LSIP algorithm significantly improves packet delivery ratio.
The proposed algorithm enhances network throughput.
Acceptable levels of data transmission delay were maintained.

Conclusions:

The LSIP algorithm effectively manages interference in multiple mobile WBAN environments.
This approach enhances the performance of WBANs in e-healthcare applications.
LSIP offers a viable solution for reliable and efficient wireless healthcare systems.