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Updated: Mar 15, 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

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

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:

CDMA TDMA game theory resource allocation

Related Experiment Videos

Last Updated: Mar 15, 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:

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.