New Energy Efficient Multi-Hop Routing Techniques for Wireless Sensor Networks: Static and Dynamic Techniques.

Area of Science:

• Computer Science
• Network Engineering
• Wireless Communication

Background:

• Wireless Sensor Networks (WSNs) face significant challenges, primarily concerning energy consumption during data transmission.
• Existing routing protocols, such as Low Energy Adaptive Clustering Hierarchy (LEACH), struggle with energy efficiency and performance degradation in large-scale networks.

Purpose of the Study:

• To propose a new multi-level network architecture for WSNs to address energy consumption and performance issues.
• To develop static and dynamic data routing techniques within the proposed hierarchical structure.

Main Methods:

• The study introduces a novel approach by dividing the WSN into multiple levels based on node position and status.
• Two distinct data routing techniques (static and dynamic) were developed to manage data flow between these network levels.

Main Results:

• Simulation results indicate that the proposed techniques substantially extend network lifespan.
• The new methods demonstrate improved network stability and increased data throughput compared to LEACH, IMHT-LEACH, and EDMHT-LEACH.

Conclusions:

• The developed multi-level WSN approach offers a promising solution for enhancing network longevity and efficiency.
• The static and dynamic routing techniques effectively overcome the limitations of traditional protocols in large-scale WSN deployments.