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Related Experiment Video

Updated: Feb 11, 2026

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

Path Diversity Improved Opportunistic Routing for Underwater Sensor Networks.

Weigang Bai^1,2, Haiyan Wang^3,4, Ke He^5,6

¹Key Laboratory of Ocean Acoustics and Sensing, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an 710072, China. wgbai@mail.nwpu.edu.cn.

Sensors (Basel, Switzerland)

|April 26, 2018

Summary

Underwater sensor networks face routing challenges due to node mobility. This study introduces improved candidate selection strategies for opportunistic routing, enhancing packet delivery and network efficiency.

Keywords:

candidate coordination candidates selection opportunistic routing underwater sensor networks

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Area of Science:

Computer Science
Networking
Wireless Communication

Background:

Underwater sensor networks (UWSNs) are vulnerable to routing failures caused by node mobility and unreliable channels.
Opportunistic routing leverages the broadcast nature of wireless media to improve packet delivery in UWSNs.
Current opportunistic routing methods often overlook the impact of candidate location distribution on forwarding efficiency.

Purpose of the Study:

To enhance packet forwarding efficiency in UWSNs by addressing the limitations of existing candidate selection strategies.
To propose novel opportunistic routing protocols that consider both forwarding advancement and candidate location distribution.

Main Methods:

Developed a path diversity improved candidate selection strategy for opportunistic routing.
Proposed two routing protocols: Position Improved Candidates Selection (PICS) using two-hop information and Position Random Candidates Selection (PRCS) using one-hop information.
Evaluated protocol performance through simulations.

Main Results:

Both PICS and PRCS significantly improve network performance compared to existing solutions.
Improvements observed in packet delivery ratio, average energy consumption, and end-to-end delay.
The proposed candidate selection strategy effectively considers candidate location distribution for better forwarding.

Conclusions:

The proposed path diversity improved candidate selection strategy enhances opportunistic routing in UWSNs.
PICS and PRCS offer effective solutions for improving UWSN routing performance.
Considering candidate location distribution is crucial for efficient opportunistic routing in challenging underwater environments.