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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Efficient cluster-based routing protocol for wireless sensor networks by using collaborative-inspired Harris Hawk

Huangshui Hu¹, Xinji Fan¹, Chuhang Wang²

¹College of Computer Science and Engineering, Changchun University of Technology, Changchun, China.

|April 5, 2024

Summary

This summary is machine-generated.

This study introduces CHHFO, a novel protocol for wireless sensor networks that enhances network lifetime. By combining fuzzy logic with Harris Hawks optimization, it improves energy efficiency and network throughput.

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Area of Science:

Computer Science
Electrical Engineering
Network Engineering

Background:

Wireless sensor networks (WSNs) require energy-efficient protocols to extend operational duration.
Optimizing energy usage remains a key challenge for maximizing WSN longevity.
Existing clustering and routing protocols face limitations in efficient energy management.

Purpose of the Study:

To introduce CHHFO, a novel protocol designed to enhance WSN lifetime.
To improve energy efficiency and network throughput in WSNs.
To address the challenge of optimizing energy usage in WSNs.

Main Methods:

Developed CHHFO protocol integrating fuzzy logic and collaborative Harris Hawks optimization.
Fuzzy logic system uses remaining energy, base station distance, and neighbor count for cluster head selection.
Harris Hawks optimization algorithm employs novel coding for optimal relay cluster head selection.

Main Results:

CHHFO demonstrated higher network throughput compared to HHO-UCRA, IHHO-F, and EFCR.
Network throughput improvements were 8.76%, 11.73%, and 8.64% respectively.
CHHFO achieved lower energy consumption than HHO-UCRA, IHHO-F, and EFCR by 0.88%, 39.79%, and 34.25%.

Conclusions:

The CHHFO protocol effectively enhances WSN lifetime through optimized energy conservation.
The integration of fuzzy logic and Harris Hawks optimization leads to significant improvements in network performance.
CHHFO presents a promising solution for energy-efficient routing in wireless sensor networks.