Performance and Energy Consumption Analysis for UWSNs with Priority Scheduling Based on Access Probability and Wakeup...

Area of Science:

• Underwater wireless sensor networks (UWSNs)
• Autonomous underwater vehicle (AUV) technology

Background:

• High energy consumption and latency impair UWSN operational lifespan and performance.
• Advancements in AUV technology increase the importance of efficient UWSNs.

Purpose of the Study:

• To develop a novel mixed packet forwarding strategy for UWSNs.
• To address energy consumption and latency challenges in UWSNs.
• To optimize the trade-off between energy efficiency and network latency.

Main Methods:

• Implemented a mixed packet forwarding strategy with a wakeup threshold and dynamic access probability for cluster heads (CHs).
• Categorized sensor node (SN) packets based on latency sensitivity.
• Utilized a discrete-time queueing model with preemptive priority to evaluate packet and CH performance.

Main Results:

• The proposed strategy effectively manages the trade-off between latency and energy consumption.
• Numerical results demonstrate the impact of various parameters on network performance.
• The mixed packet forwarding mechanism outperforms traditional methods within a specific parameter range.

Conclusions:

• The novel strategy offers a viable solution for enhancing UWSN performance in AUV applications.
• Effective management of energy consumption and latency is crucial for UWSN longevity and efficiency.
• Dynamic adjustment of network parameters can significantly improve overall system performance.