An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks

Area of Science:

• Computer Science
• Network Engineering
• Algorithm Optimization

Background:

• Wireless sensor networks (WSNs) face challenges in stable and reliable multipath data transmission due to node/link failures, energy depletion, and interference.
• Existing multipath strategies struggle to overcome these limitations, impacting overall network performance.

Purpose of the Study:

• To propose an improved multipath transmission strategy for WSNs using an enhanced shuffled frog leaping algorithm (SFLA).
• To optimize node selection and path establishment for improved network stability and reliability.

Main Methods:

• Developed a mathematical model for multipath transmission in WSNs.
• Enhanced the SFLA by integrating particle swarm optimization's transition probability to improve local optimum avoidance and solution quality.
• Applied the enhanced SFLA to update, divide, and reorganize sensor nodes for optimal path selection.

Main Results:

• The proposed algorithm ensures reliable data transmission in WSNs.
• Demonstrated significant reductions in network packet loss rate and energy consumption.
• Achieved a notable decrease in the average data transmission delay.

Conclusions:

• The improved SFLA-based multipath strategy effectively addresses WSN transmission challenges.
• The approach enhances network reliability, efficiency, and performance.
• This method offers a robust solution for critical data delivery in WSNs.