Calculating the number of cluster heads based on the rate-distortion function in wireless sensor networks

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Energy efficiency is a critical constraint in wireless sensor networks (WSNs) due to limited node resources.
• Data fusion is essential for reducing network traffic, eliminating redundancy, and meeting sink node data requirements.

Purpose of the Study:

• To propose a novel method for calculating the optimal number of cluster heads in WSNs for data fusion.
• To enhance energy efficiency in WSNs through optimized network topology design.

Main Methods:

• Development of an energy consumption model for WSNs.
• Application of rate-distortion theory to determine the number of cluster heads.
• Theoretical analysis and experimental validation of the proposed method.

Main Results:

• The proposed method effectively calculates the number of cluster heads for energy-efficient data fusion.
• Network topology design based on rate-distortion function significantly improves energy efficiency.

Conclusions:

• The rate-distortion function provides an effective framework for optimizing WSN topology and energy consumption.
• The proposed method offers a practical solution for enhancing the longevity and performance of wireless sensor networks.