Throughput fairness enhancement using differentiated channel access in heterogeneous sensor networks

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Wireless sensor networks (WSNs) are evolving into heterogeneous sensor networks (HSNs) supporting multiple applications.
• Packet size variations in HSNs lead to significant network performance fairness issues.

Purpose of the Study:

• To design and evaluate a differentiated channel access scheme (DiffCA) for HSNs.
• To address and resolve fairness problems caused by diverse data packet sizes in HSNs.

Main Methods:

• Developed a differentiated channel access scheme (DiffCA) utilizing an additional backoff counter.
• Implemented a discrete time Markov chain mathematical model for performance analysis.
• Conducted simulations to validate the numerical model's accuracy.

Main Results:

• DiffCA provides fair performance across different application groups in HSNs.
• The scheme effectively compensates for performance degradation in disadvantaged application groups.
• Numerical analysis accurately predicts DiffCA's performance.

Conclusions:

• DiffCA is an effective solution for ensuring fairness in heterogeneous wireless sensor networks.
• The proposed scheme balances network performance for applications with varying packet sizes.
• Mathematical modeling and simulation confirm the efficacy of DiffCA.