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Underwater Wireless Sensor Networks Performance Comparison Utilizing Telnet and Superframe

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TLDR
In this paper , Cluster-based Underwater Wireless Sensor Networks (CB-UWSNs) are proposed in which nodes are deployed via Superframe and Telnet applications, and several routing protocols, such as Ad hoc On-demand Distance Vector (AODV), Fisheye State Routing (FSR), Location-Aided Routing 1 (LAR1), OLSR, and Source Tree Adaptive Routing-Least Overhead Routing Approach (STAR-LORA), were evaluated based on the criteria of their energy consumption in a range of various modes of operation with QualNet Simulator using Telnet and Superframe applications.
Abstract
Underwater Wireless Sensor Networks (UWSNs) have recently established themselves as an extremely interesting area of research thanks to the mysterious qualities of the ocean. The UWSN consists of sensor nodes and vehicles working to collect data and complete tasks. The battery capacity of sensor nodes is quite limited, which means that the UWSN network needs to be as efficient as it can possibly be. It is difficult to connect with or update a communication that is taking place underwater due to the high latency in propagation, the dynamic nature of the network, and the likelihood of introducing errors. This makes it difficult to communicate with or update a communication. Cluster-based underwater wireless sensor networks (CB-UWSNs) are proposed in this article. These networks would be deployed via Superframe and Telnet applications. In addition, routing protocols, such as Ad hoc On-demand Distance Vector (AODV), Fisheye State Routing (FSR), Location-Aided Routing 1 (LAR1), Optimized Link State Routing Protocol (OLSR), and Source Tree Adaptive Routing—Least Overhead Routing Approach (STAR-LORA), were evaluated based on the criteria of their energy consumption in a range of various modes of operation with QualNet Simulator using Telnet and Superframe applications. STAR-LORA surpasses the AODV, LAR1, OLSR, and FSR routing protocols in the evaluation report’s simulations, with a Receive Energy of 0.1 mWh in a Telnet deployment and 0.021 mWh in a Superframe deployment. The Telnet and Superframe deployments consume 0.05 mWh transmit power, but the Superframe deployment only needs 0.009 mWh. As a result, the simulation results show that the STAR-LORA routing protocol outperforms the alternatives.

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Journal ArticleDOI

Acoustic Wave Reflection in Water Affects Underwater Wireless Sensor Networks

TL;DR: In this paper , the effect of material physical qualities on oblique incidence acoustic attenuation across a large frequency range was measured by modeling and studying the reflection and absorption of acoustic plane waves encountering half-space and two-layer surfaces.
Journal ArticleDOI

Energy balanced reliable and effective clustering for underwater wireless sensor networks

TL;DR: In this article , the Energy Balanced Reliable and Effective Clustering (EBREC) method was presented to ensure that data packets reach at their destination intact, which was done in order to avoid the complications caused by multipath fading, significant path loss, and various interferences.
References
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Proceedings ArticleDOI

Research challenges and applications for underwater sensor networking

TL;DR: This paper identifies research directions in short-range acoustic communications, MAC, time synchronization, and localization protocols for high-latency acoustic networks, long-duration network sleeping, and application-level data scheduling for underwater sensor networks.
Journal ArticleDOI

The challenges of building mobile underwater wireless networks for aquatic applications

TL;DR: The conclusion is that building scalable mobile UWSNs is a challenge that must be answered by interdisciplinary efforts of acoustic communications, signal processing, and mobile acoustic network protocol design.
Journal ArticleDOI

Localization Algorithms of Underwater Wireless Sensor Networks: A Survey

TL;DR: A comprehensive survey of localization algorithms into three categories based on sensor nodes’ mobility: stationary localization algorithms, mobile localization algorithms and hybrid localization algorithms is presented.
Journal ArticleDOI

An Energy-Efficient Reliable Data Transmission Scheme for Complex Environmental Monitoring in Underwater Acoustic Sensor Networks

TL;DR: Simulation validations of the proposed algorithm, called energy-efficiency grid routing based on 3D cubes (EGRCs) in UASNs, perform better than the representative algorithms in terms of energy efficiency, reliability, and end-to-end delay.
Proceedings ArticleDOI

Multi Stage Underwater Sensor Localization Using Mobile Beacons

TL;DR: Performance (i.e., the percentage of localized nodes during a cycle, accuracy, delay and communication cost) is tested in a simulation scenario based on a realistic mobility model - a composite model combining surface and subsurface currents.
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