ArticleSensors (Basel, Switzerland)2022
An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
- RUL-DBRS: A Novel Energy Efficient and Robust Protocol for Enhanced Communication in Underwater Wireless Sensor Networks.Scientific reports · 2026Article
- An energy efficient hierarchical routing approach for UWSNs using biology inspired intelligent optimization.Scientific reports · 2025Article
- Performance and Energy Consumption Analysis for UWSNs with Priority Scheduling Based on Access Probability and Wakeup Threshold.Sensors (Basel, Switzerland) · 2025Article
- Distinctive approach in brain tumor detection and feature extraction using biologically inspired DWT method and SVM.Scientific reports · 2023Article
- Node deployment optimization of underwater wireless sensor networks using intelligent optimization algorithm and robot collaboration.Scientific reports · 2023Article
- Advancements in Neighboring-Based Energy-Efficient Routing Protocol (NBEER) for Underwater Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2023Article
- Underwater Wireless Sensor Networks Performance Comparison Utilizing Telnet and Superframe.Sensors (Basel, Switzerland) · 2023Article
- Analysis of the Improvement of Engineering Mechanics Experimental Methods Based on IoT and Machine Learning.Sensors (Basel, Switzerland) · 2023Article
- Analyzing the Impact of Active Attack on the Performance of the AMCTD Protocol in Underwater Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2023Article
- Wavelet Mutation with Aquila Optimization-Based Routing Protocol for Energy-Aware Wireless Communication.Sensors (Basel, Switzerland) · 2022Article
- EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs).Sensors (Basel, Switzerland) · 2022Article
- A Novel Deep Learning-Based Cooperative Communication Channel Model for Wireless Underground Sensor Networks.Sensors (Basel, Switzerland) · 2022Article
- Chaotic Search-and-Rescue-Optimization-Based Multi-Hop Data Transmission Protocol for Underwater Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2022Article
- Improved Metaheuristics-Based Clustering with Multihop Routing Protocol for Underwater Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2022Article
- Construction and Analysis of Performance Evaluation Index System for Chinese Small and Medium-Sized Enterprises Based on Fuzzy Hierarchical Analysis Model.Computational intelligence and neuroscience · 2022Article
- Application of CNN-Based Machine Learning in the Study of Motor Fault Diagnosis.Computational intelligence and neuroscience · 2022Article
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Authors and funding
5 authors.
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Abstract
In recent years, the underwater wireless sensor network (UWSN) has received a significant interest among research communities for several applications, such as disaster management, water quality prediction, environmental observance, underwater navigation, etc. The UWSN comprises a massive number of sensors placed in rivers and oceans for observing the underwater environment. However, the underwater sensors are restricted to energy and it is tedious to recharge/replace batteries, resulting in energy efficiency being a major challenge. Clustering and multi-hop routing protocols are considered energy-efficient solutions for UWSN. However, the cluster-based routing protocols for traditional wireless networks could not be feasible for UWSN owing to the underwater current, low bandwidth, high water pressure, propagation delay, and error probability. To resolve these issues and achieve energy efficiency in UWSN, this study focuses on designing the metaheuristics-based clustering with a routing protocol for UWSN, named MCR-UWSN. The goal of the MCR-UWSN technique is to elect an efficient set of cluster heads (CHs) and route to destination. The MCR-UWSN technique involves the designing of cultural emperor penguin optimizer-based clustering (CEPOC) techniques to construct clusters. Besides, the multi-hop routing technique, alongside the grasshopper optimization (MHR-GOA) technique, is derived using multiple input parameters. The performance of the MCR-UWSN technique was validated, and the results are inspected in terms of different measures. The experimental results highlighted an enhanced performance of the MCR-UWSN technique over the recent state-of-art techniques.
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