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An Interference-Aware Traffic-Priority-Based Link Scheduling Algorithm for Interference Mitigation in Multiple

Thien T T Le1, Sangman Moh2

  • 1Department of Computer Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 61452, Korea. thanhthien92003@yahoo.com.

Sensors (Basel, Switzerland)
|December 22, 2016
PubMed
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Interference in dense wireless body area networks (WBANs) degrades performance. The proposed interference-aware traffic-priority-based link scheduling (ITLS) algorithm enhances network throughput and spatial reuse for reliable health monitoring.

Area of Science:

  • Wireless communication networks
  • Biomedical engineering
  • Computer science

Background:

  • Wireless Body Area Networks (WBANs) are crucial for remote health monitoring.
  • Dense deployment of WBANs leads to significant inter-WBAN interference, degrading network performance and reliability.
  • Existing solutions often fail to adequately address interference in high-density WBAN scenarios.

Purpose of the Study:

  • To propose an effective algorithm for mitigating inter-WBAN interference in densely deployed networks.
  • To enhance network throughput and reliability while prioritizing critical sensor data.
  • To improve spatial reuse in WBANs through intelligent link scheduling.

Main Methods:

  • Modeling multi-WBAN networks as an interference graph incorporating node-level interference and traffic priority.
Keywords:
interference mitigationlink schedulingmedium access controloptimizationtraffic prioritywireless body area network

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  • Formulating link scheduling as an optimization problem to maximize network throughput and ensure traffic priority.
  • Developing the Interference-Aware Traffic-Priority-based Link Scheduling (ITLS) algorithm based on the optimization model.
  • Main Results:

    • The ITLS algorithm effectively mitigates inter-WBAN interference in dense deployments.
    • Significant increases in spatial reuse and overall network throughput were observed.
    • The proposed algorithm achieved lower network delay compared to existing methods.

    Conclusions:

    • The ITLS algorithm offers a robust solution for managing interference in dense WBANs.
    • Prioritizing traffic and considering packet length/interference levels enhances network efficiency.
    • The ITLS algorithm improves the reliability and performance of WBANs for health monitoring applications.