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Updated: May 24, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

Data-centric multiobjective QoS-aware routing protocol for body sensor networks.

Md Abdur Razzaque1, Choong Seon Hong, Sungwon Lee

  • 1Department of Computer Engineering, Kyung Hee University, 1 Seocheon, Giheung, Yongin, Gyeonggi, 446-701, Korea. m_a_razzaque@yahoo.com

Sensors (Basel, Switzerland)
|February 21, 2012
PubMed
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This study introduces DMQoS, a novel routing protocol for Body Sensor Networks (BSNs). DMQoS enhances data routing by optimizing for delay and reliability, ensuring customized Quality-of-Service (QoS) and balanced energy consumption.

Area of Science:

  • Computer Science
  • Biomedical Engineering
  • Wireless Sensor Networks

Background:

  • Body Sensor Networks (BSNs) face challenges in Quality-of-Service (QoS) routing, particularly concerning delay and reliability.
  • Existing routing protocols often struggle to provide customized QoS for diverse data types within BSNs.
  • Energy dissipation heterogeneity is a critical issue affecting the longevity of BSNs.

Purpose of the Study:

  • To propose a novel data-centric, multiobjective QoS-aware routing protocol (DMQoS) for BSNs.
  • To enable customized QoS services tailored to different traffic categories based on data types.
  • To ensure homogeneous energy dissipation across routing nodes in the network.

Main Methods:

  • Developed a modular design architecture for the DMQoS protocol, coordinating different units for multiple QoS services.
Keywords:
Body Sensor NetworksLexicographic OptimizationLocalized routingQoS-Aware routingService differentiation

Related Experiment Videos

Last Updated: May 24, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

  • Implemented localized, hop-by-hop routing exploiting geographic locations and neighbor node QoS performance.
  • Utilized multiobjective Lexicographic Optimization-based geographic forwarding for homogeneous energy dissipation.

    • Main Results:

    • DMQoS demonstrated significant performance improvements compared to state-of-the-art approaches in extensive simulations.
    • The protocol effectively achieves customized QoS services for various traffic categories.
    • Homogeneous energy dissipation rates were observed across routing nodes.

    Conclusions:

    • DMQoS offers a robust solution for QoS-aware routing in BSNs, addressing key challenges in delay, reliability, and energy efficiency.
    • The proposed protocol's modular design and optimization techniques provide superior performance and network longevity.
    • DMQoS represents a significant advancement in BSN routing protocol design.