Performance Analysis of Underwater Wireless Sensor Network by Deploying FTP, CBR, and VBR as Applications

Venkata

Anbazhagan

et al. 2023

Telecom

Oceanographic data collection, disaster prevention, aided navigation, critical observation sub-missions, contaminant screening, and seaward scanning are just a few of the submissions that use underwater sensor hubs. Unmanned submerged vehicles (USVs) or autonomous acoustic underwater vehicles (AUVs) through sensors would similarly be able to explore unique underwater resources and gather data when utilized in conjunction with integrated screen operations. The most advanced technological method of oceanic observation is wireless information routing beneath the ocean or generally underwater. Water bottoms are typically observed using oceanographic sensors that collect data at certain ocean zones. Most research on UWSNs focuses on physical levels, even though the localization level, such as guiding processes, is a more recent zone. Analyzing the presenting metrics of the current direction conventions for UWSNs is crucial for considering additional enhancements in a procedure employing underwater wireless sensor networks for locating sensors (UWSNs). Due to their severely constrained propagation, radio frequency (RF) transmissions are inappropriate for underwater environments. This makes it difficult to maintain network connectivity and localization. This provided a plan for employing adequate reliability and improved communication and is used to locate the node exactly using a variety of methods. In order to minimize inaccuracies, specific techniques are utilized to calculate the distance to the destination. It has a variety of qualities, such as limited bandwidth, high latency, low energy, and a high error probability. Both nodes enable technical professionals stationed on land to communicate data from the chosen oceanic zones rapidly. This study investigates the significance, uses, network architecture, requirements, and difficulties of undersea sensors.

Section: Continuous Transmission Of Packet Trafficmentioning

confidence: 99%

Review of Localization and Clustering in USV and AUV for Underwater Wireless Sensor Networks

Venkata

Anbazhagan

et al. 2023

Telecom

“…Directional antennas can be put on beacon sensor nodes if they are used. A directional antenna at the top of a rotating sensor node sends beacon signals in all directions (Sathish, Ravikumar, Rajesh, & Pau, 2022, Sathish, Ravikumar, Srinivasulu, & Gupta, 2022. Rahman et al (2018) proposed that the fundamental goal of a localization strategy is to find the location of sensor nodes in a network of sensors (nodes that already know where they are) relative to or precisely concerning a small number of anchor nodes.…”

Section: Related Studiesmentioning

confidence: 99%

“…The suggested methodology comprehensively improves utilization regarding the number of openings per outline while providing yet another arbitrary back-off mechanism to achieve impact-free planning. For subsea systems with a range of 1,000 m, UW-ALOHA-Q boosted channel usability by up to 24.6 times (Sathish, Ravikumar, Rajesh, & Pau, 2022;Sathish, Ravikumar, Srinivasulu, & Gupta, 2022). Erol et al (2008) described that most oceanographic applications rely on localizing sensor nodes along long or short baselines (LBL or SBL).…”

Section: Related Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Enhancement of Precise Underwater Object Localization

Anbazhagan

et al. 2023

Radio Science

Underwater communication applications extensively use localization services for object identification. Because of their significant impact on ocean exploration and monitoring, underwater wireless sensor networks (UWSN) are becoming increasingly popular, and acoustic communications have largely overtaken radio frequency (RF) broadcasts as the dominant means of communication. The two localization methods that are most frequently employed are those that estimate the angle of arrival (AOA) and the time difference of arrival (TDoA). The military and civilian sectors rely heavily on UWSN for object identification in the underwater environment. As a result, there is a need in UWSN for an accurate localization technique that accounts for dynamic nature of the underwater environment. Time and position data are the two key parameters to accurately define the position of an object. Moreover, due to climate change there is now a need to constrain energy consumption by UWSN to limit carbon emission to meet net‐zero target by 2050. To meet these challenges, we have developed an efficient localization algorithm for determining an object position based on the angle and distance of arrival of beacon signals. We have considered the factors like sensor nodes not being in time sync with each other and the fact that the speed of sound varies in water. Our simulation results show that the proposed approach can achieve great localization accuracy while accounting for temporal synchronization inaccuracies. When compared to existing localization approaches, the mean estimation error (MEE) and energy consumption figures, the proposed approach outperforms them. The MEEs is shown to vary between 84.2154m and 93.8275m for four trials, 61.2256m and 92.7956m for eight trials, and 42.6584m and 119.5228m for twelve trials. Comparatively, the distance‐based measurements show higher accuracy than the angle‐based measurements.This article is protected by copyright. All rights reserved.

“…OPNET, OMNeT, MATLAB, QualNet, and other simulation tools, among others [25,28,[33][34][35][36], commonly take the design of UWSN into account. Te proposed network is created in the QualNet simulator using a number of userfriendly UWSN design parameters.…”

Section: Performance Parametersmentioning

confidence: 99%

Performance and Improvement Analysis of the Underwater WSN Using a Diverse Routing Protocol Approach

Journal of Computer Networks and Communications

Ravikumar

Srinivasulu

et al. 2022

Self Cite

The planet Earth is the most water-rich place because oceans cover more than 75% of its land area. Because of the extraordinary activities that occur in the depths, we know very little about oceans. Underwater wireless sensors are tools that can continuously transmit data to one of the source sensors while also monitoring and recording the physical and environmental parameters of their surroundings. An underwater wireless sensor network (UWSN) is the name given to the network created by the collection of these underwater wireless sensors. This particular technology is the most efficient way to analyse performance parameters. A network path is chosen to send traffic by using the routing method, a process that is also known as a protocol. The routing protocols ad-hoc on-demand distance vector (AODV), dynamic source routing (DSR), dynamic manet on demand routing protocol (DYMO), location-aided routing 1 (LAR 1), optimized link state routing (OLSR), source-tree adaptive routing optimum routing approach (STAR-ORA), zone routing protocol (ZRP), and STAR-least overhead routing approach (STAR-LORA) are a few models of routing techniques. By changing the number of nodes in the model and the maximum speed of each node, performance parameters such as average transmission delay, average jitter, percentage of utilisation, and power used in transmit and receive modes are explored. The results obtained using QualNet 7.1 simulator suggest the suitability of routing protocols in the UWSN.