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RECRP: An Underwater Reliable Energy-Efficient Cross-Layer Routing Protocol
Jun Liu1,2, Meiming Yu3, Xingwang Wang4
1College of Computer Science and Technology, Jilin University, Changchun 130012, China. liujun1509@jlu.edu.cn.
Sensors (Basel, Switzerland)
|November 30, 2018
Summary
This study introduces a Reliable Energy-efficient Cross-layer Routing Protocol (RECRP) for underwater wireless sensor networks. RECRP enhances data delivery rates and conserves energy by using physical layer information and an optimal max-min method.
Area of Science:
- Underwater wireless sensor networks (UWSNs)
- Network protocols
- Acoustic communication
Background:
- Underwater acoustic communication faces challenges like long delays, dynamic topology, limited energy, and communication voids.
- Existing routing protocols struggle to balance energy efficiency and data delivery rates in UWSNs.
Purpose of the Study:
- To propose a Reliable Energy-efficient Cross-layer Routing Protocol (RECRP) for UWSNs.
- To enhance data delivery rates and improve energy efficiency in underwater data transmission.
- To address communication voids and localization challenges in UWSNs.
Main Methods:
- RECRP utilizes physical layer information (e.g., Doppler scale shift, RSSI) for location-free distance estimation, avoiding extra localization hardware.
- A single-copy mechanism minimizes redundant packet overhead.
- An optimal max-min method dynamically adjusts transmission power and channel frequency to balance energy consumption and improve two-hop packet delivery.
- A surface-to-bottom routing establishment method addresses communication voids.
Main Results:
- RECRP achieves a higher data delivery rate compared to Depth-Based Routing (DBR) and Hop-by-Hop Vector-Based Forwarding (HH-VBF).
- The protocol demonstrates improved energy efficiency.
- Location-free operation and single-copy mechanism contribute to reduced overhead and enhanced performance.
Conclusions:
- RECRP offers a robust and efficient solution for data transmission in UWSNs.
- The cross-layer design effectively leverages physical layer information for improved routing.
- The proposed methods successfully tackle key challenges in underwater acoustic networks, leading to superior performance.
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