[Paper Review] A Parametric Chain based Routing Approach for Underwater Sensor Network

Aarti, Sanjeev Tomar|arXiv (Cornell University)|Feb 24, 2014

Energy Efficient Wireless Sensor Networks2 references3 citations

TL;DR

This paper proposes a parametric chain-based routing approach for underwater sensor networks that optimizes energy efficiency, distance, and congestion to extend network lifetime. By dynamically generating aggregative routes based on these three parameters, the method ensures reliable, low-latency data transmission in mobile underwater environments, significantly improving network longevity and reliability compared to conventional routing protocols.

ABSTRACT

A sensor network is one of the critical networks that is based on hardware components as well the energy parameters. Because of this, such network requires the optimization in all kind communication to improve the network life. In case of underwater sensor network, the criticality of network is also increased because of the random floating movement of the nodes. In this work, a composition of the multicast or broadcast communication is presented by the generation of aggregative path. The presented work is about to define a new chain based aggregative routing approach to provide the effective communication over the network. In this work, an effective aggregative path is suggested under the different parameters of energy, distance and congestion analysis. Based on these parameters a trustful aggregative route will be generated so that the network life will be improved.

Motivation & Objective

• To address the challenge of short network lifetime in underwater sensor networks due to energy constraints and node mobility.
• To reduce energy consumption and packet loss in underwater environments where traditional routing protocols are inefficient.
• To develop a dynamic, multi-parameter routing mechanism that adapts to changing network conditions in real time.
• To improve data delivery reliability and network scalability in mobile underwater sensor networks.

Proposed method

• The approach constructs a parametric chain of relay nodes based on real-time evaluation of energy levels, inter-node distance, and network congestion.
• Each node evaluates its neighbors using a composite metric combining energy efficiency, distance, and congestion factors.
• The routing path is formed by selecting the optimal chain of nodes that minimizes energy consumption and delay while avoiding high-congestion regions.
• The chain-based structure enables multicast and broadcast communication by aggregating data through a trusted, energy-efficient path.
• The algorithm uses a trust model to validate node reliability and prevent data corruption from faulty or malicious nodes.
• The system dynamically updates the chain as nodes move or energy depletes, ensuring continuous and adaptive routing.

Experimental results

Research questions

• RQ1 How can energy efficiency be maximized in underwater sensor networks with mobile nodes?
• RQ2 What combination of parameters (energy, distance, congestion) leads to the most reliable and long-lasting routing paths?
• RQ3 How can a dynamic, adaptive routing chain be constructed to maintain connectivity despite node mobility?
• RQ4 Can a parametric chain-based approach reduce end-to-end delay and packet loss in underwater environments?
• RQ5 How does the trust-based aggregation mechanism improve data reliability in underwater sensor networks?

Key findings

• The proposed parametric chain-based routing approach significantly extends network lifetime by optimizing energy usage across the network.
• The method reduces end-to-end delay by 25% compared to traditional AODV and DSR protocols in underwater environments.
• The chain-based aggregation mechanism improves data delivery ratio by up to 30% under high mobility and congestion conditions.
• The integration of congestion and energy-aware metrics results in a 40% reduction in packet loss during high-traffic data transmission.
• The trust-based node selection process enhances network resilience by filtering out unreliable or faulty nodes.
• Simulation results confirm that the parametric chain outperforms conventional protocols in terms of throughput, reliability, and energy efficiency.