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Related Experiment Video

Updated: Mar 15, 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

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A Game Theoretic Optimization Method for Energy Efficient Global Connectivity in Hybrid Wireless Sensor Networks.

JongHyup Lee1, Dohyun Pak2

  • 1Department of Mathematical Finance, Gachon University, 1342 Seongnamdaero, Seongnam-si 13120, Korea. jonghyup@gachon.ac.kr.

Sensors (Basel, Switzerland)
|September 3, 2016
PubMed
Summary

This study introduces a game theoretic model for optimal base station assignment in hybrid wireless sensor networks (WSNs). The proposed model enhances energy efficiency and adaptability for cluster heads in cellular systems.

Keywords:
CDMATDMAgame theoryresource allocation

Related Experiment Videos

Last Updated: Mar 15, 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

1.2K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Wireless Communication

Background:

  • Wireless Sensor Networks (WSNs) utilize cluster formation for efficient data transmission, with cluster heads managing connectivity to sink nodes.
  • Hybrid WSNs integrate cellular interfaces in cluster heads for global connectivity, crucial during high network loads.
  • Optimal assignment of cluster heads to base stations is vital for performance in busy cellular environments.

Purpose of the Study:

  • To propose a game theoretic model for optimal base station assignment in hybrid WSNs.
  • To develop adaptive game models for TDMA/FDMA and CDMA systems using power prices.
  • To improve energy efficiency and adaptability compared to existing local selection methods.

Main Methods:

  • A game theoretic model was developed to optimize base station assignment for hybrid WSNs.
  • Two distinct game models were devised for TDMA/FDMA and CDMA systems, incorporating power prices.
  • The models were evaluated based on communication and energy costs within cellular systems.

Main Results:

  • The proposed game theoretic model demonstrated superior adaptability and energy efficiency.
  • Evaluation indicated better performance than traditional local selection strategies.
  • The use of power prices effectively adapted to the varying efficiencies of wireless technologies.

Conclusions:

  • The game theoretic approach provides an effective solution for optimal base station assignment in hybrid WSNs.
  • The devised models offer enhanced energy efficiency and adaptability in diverse cellular network conditions.
  • This research contributes to the practical deployment and performance optimization of WSNs.