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Updated: May 26, 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

A game theory-based obstacle avoidance routing protocol for wireless sensor networks.

Xin Guan1, Huayang Wu, Shujun Bi

  • 1School of Information Science and Technology, Heilongjiang University, Harbin 150080, China. guan@ieee.org

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a game-theory routing algorithm for wireless sensor networks to overcome obstacle avoidance challenges. The novel approach improves transmission success rates and reduces energy consumption for better network performance.

Keywords:
Nash equilibriumgame theoryobstacle avoidancewireless sensor networks

Related Experiment Videos

Last Updated: May 26, 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

Area of Science:

  • Computer Science
  • Network Engineering

Background:

  • Geographic forwarding in wireless sensor networks faces significant challenges due to environmental obstacles.
  • Obstacle avoidance issues lead to increased energy consumption and data congestion, degrading network efficiency.

Purpose of the Study:

  • To propose a novel game-theory-based routing algorithm for effective obstacle avoidance in wireless sensor networks.
  • To enhance transmission success rates and reduce packet delivery delays in the presence of obstacles.

Main Methods:

  • Developed a game-theory model to create a concave forwarding region, avoiding direct obstacle traversal.
  • Incorporated residual energy, out-degree, and forwarding angle to calculate forwarding probabilities and payoff functions.
  • Focused on achieving load balance and reducing overall network energy consumption.

Main Results:

  • The proposed algorithm successfully forms a concave region to bypass obstacles, improving packet delivery.
  • Simulation results demonstrate superior performance compared to traditional schemes in terms of average delivery delay, energy consumption, and packet delivery ratio.

Conclusions:

  • The game-theory-based routing algorithm offers an effective solution for obstacle avoidance in wireless sensor networks.
  • The method significantly improves network efficiency by balancing loads and reducing energy consumption.