Energy-Efficient and Robust QoS Control for Wireless Sensor Networks Using the Extended Gur Game

Area of Science:

• Computer Science
• Network Engineering
• Algorithm Design

Background:

• Outdoor wireless sensor networks (WSNs) face challenges with autonomous operation and battery power in remote environments.
• Recharging or replacing batteries in WSN nodes is difficult in harsh outdoor settings like mountains or underwater.
• Maintaining quality of service (QoS) while conserving energy is critical for WSN longevity and performance.

Purpose of the Study:

• To present a novel QoS control algorithm for WSNs based on extensions to the Gur game framework.
• To improve QoS performance and address energy consumption challenges in existing Gur game-based WSN algorithms.
• To enable sustainable communication and extend network lifetimes in autonomous WSN deployments.

Main Methods:

• Developed a novel QoS control algorithm by extending the Gur game framework.
• Implemented and evaluated the proposed algorithm using TinyOS-based WSN simulations.
• Compared the performance of the new algorithm against existing Gur game-based and shuffle algorithms.

Main Results:

• The proposed robust Gur game algorithm significantly enhances QoS control in WSNs.
• Achieved a 27.33% improvement in energy efficiency compared to original Gur game and shuffle algorithms.
• Demonstrated sustainable communication and extended network lifetimes through simulations.

Conclusions:

• The robust Gur game algorithm offers superior QoS control and energy efficiency for outdoor WSNs.
• The approach effectively addresses the critical challenge of battery power in unattended WSN deployments.
• This method provides a viable solution for enhancing the performance and longevity of autonomous WSNs.