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Updated: May 12, 2026

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

Published on: September 8, 2023

Energy-efficient algorithm for broadcasting in ad hoc wireless sensor networks.

Naixue Xiong1, Xingbo Huang, Hongju Cheng

  • 1School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, China. nxiong@coloradotech.edu

Sensors (Basel, Switzerland)
|April 16, 2013
PubMed
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This study introduces efficient algorithms for energy-efficient broadcasting in wireless sensor networks. The proposed Minimum Energy-consumption Broadcast Scheme (MEBS) enhances network lifetime by balancing node energy consumption.

Area of Science:

  • Computer Science
  • Wireless Networking
  • Algorithm Design

Background:

  • Broadcasting is crucial for wireless networks, but energy efficiency is vital for battery-powered ad hoc wireless sensor networks.
  • Minimizing relay nodes reduces energy consumption, as transmission uses more power than reception.
  • The minimum-energy broadcast problem is equivalent to finding a minimum Connected Dominating Set (CDS), which is NP-complete.

Purpose of the Study:

  • To develop an efficient algorithm for finding a minimum Connected Dominating Set (CDS).
  • To design an energy-aware broadcast scheme that maximizes network lifetime in wireless sensor networks.

Main Methods:

  • Introduced an Efficient Minimum CDS algorithm (EMCDS) using an ordered sequence list.
  • Proposed a Minimum Energy-consumption Broadcast Scheme (MEBS) by modifying EMCDS for energy awareness.

Related Experiment Videos

Last Updated: May 12, 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

  • Simulated the algorithms to evaluate their performance in terms of CDS size and network lifetime.

    • Main Results:

    • The EMCDS algorithm found smaller CDS compared to existing methods.
    • The MEBS scheme effectively balanced energy consumption among nodes.
    • Simulation results demonstrated a significant increase in network lifetime using the MEBS approach.

    Conclusions:

    • The EMCDS algorithm provides an efficient way to find smaller CDS.
    • The MEBS scheme successfully enhances network lifetime by optimizing energy distribution.
    • The proposed methods offer practical solutions for energy-efficient broadcasting in wireless sensor networks.