An Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks Based on AGNES with Balanced Energy...

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Wireless Sensor Networks (WSNs) face challenges in energy consumption and limited lifetime.
• Existing clustering routing protocols often fail to minimize and balance network-wide energy usage effectively.

Purpose of the Study:

• To propose a novel energy-efficient clustering routing protocol for WSNs.
• To minimize and balance total network energy consumption, thereby extending network lifetime.

Main Methods:

• Developed a new network structure model and energy consumption model to determine the optimal number of clusters.
• Optimized the AGglomerative NESting (AGNES) algorithm with distance variance, dual-cluster heads (D-CHs) for energy balance, and a node dormancy mechanism.
• Constructed a cluster head (CH) priority function based on residual energy and node position.

Main Results:

• The proposed protocol effectively reduces the network energy consumption decay rate.
• Demonstrated a significant prolongation of network lifetime compared to existing methods.
• Showcased improvements in network throughput in both homogeneous and heterogeneous networks.

Conclusions:

• The developed energy-efficient clustering routing protocol offers a viable solution for enhancing WSN performance.
• The protocol's optimizations contribute to a more sustainable and efficient operation of wireless sensor networks.
• The findings are validated through simulations in diverse network energy scenarios.