Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Buoyancy and Stability for Submerged and Floating Bodies

Buoyancy and Stability for Submerged and Floating Bodies

In fluid mechanics, buoyancy and stability are key concepts for understanding the behavior of submerged and floating bodies. When a stationary body is fully or partially submerged in a fluid, the fluid exerts a force on the body known as the buoyant force. This force acts vertically upward through a point called the center of buoyancy, which is the center of the displaced fluid volume. According to Archimedes' principle, the magnitude of the buoyant force is equal to the weight of the fluid...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Impact of thrombocytopenia on bleeding and cardiovascular outcomes in patients undergoing percutaneous coronary intervention with dual-antiplatelet therapy.

The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology·2026

Same author

Optimizing Oligonucleotide Therapeutics: A Model-Informed Drug Development Perspective.

Clinical and translational science·2026

Same author

Prescribing trends and clinical impact of calcium salt supplements in musculoskeletal pain: evidence from a multi-center retrospective analysis in India (TRACE study).

BMC musculoskeletal disorders·2026

Same author

Autonomous nursing professional development framework using blockchain technology.

Scientific reports·2026

Same author

Colorectal Cancer: Correlating the Role of Peritoneal Fluid Cytology to Tumor Biology and Stage: A Prospective Study from Pakistan.

Euroasian journal of hepato-gastroenterology·2026

Same author

Glutamine Substitution at Lysine<sup>609</sup> in the Autoinhibitory Region Modulates Catalysis, Uncoupling, and Conformational Dynamics of Endothelial Nitric Oxide Synthase.

ACS omega·2026

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 15, 2025

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

An Intelligent Bio-Inspired Autonomous Surveillance System Using Underwater Sensor Networks.

Shadab Khan¹, Yash Veer Singh², Prasant Singh Yadav³

¹Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad 201009, India.

Sensors (Basel, Switzerland)

|September 28, 2023

Summary

This summary is machine-generated.

This study proposes an intelligent bio-inspired system for underwater sensor networks to improve energy efficiency. The tunicate swarm algorithm enhances cluster head selection, extending network lifespan compared to existing methods.

Keywords:

bio-inspired algorithms cluster heads energy efficiency routing underwater sensor networks

More Related Videos

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

Related Experiment Videos

Last Updated: Jul 15, 2025

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

Area of Science:

Underwater sensor networks
Bio-inspired computing
Network protocols

Background:

Energy efficiency is critical for underwater sensor networks (USNs).
Underwater environments present unique challenges to network lifespan and data communication.
Novel protocols are required due to slow signal propagation, unlike terrestrial networks.

Purpose of the Study:

To propose an intelligent bio-inspired autonomous surveillance system for USNs.
To enhance energy efficiency and extend the network lifespan of USNs.
To introduce an efficient data communication method using a tunicate swarm algorithm for cluster head election.

Main Methods:

Utilized the tunicate swarm algorithm (TSA) for intelligent cluster head (CH) election.
Considered energy, distance, and density as key parameters for CH selection.
Implemented a rotating CH mechanism based on the fitness values of sensor nodes (SNs) within layers and clusters.

Main Results:

The proposed protocol demonstrated improved network lifespan compared to EE-LHCR, EE-DBR, and DBR.
The TSA-based CH election effectively achieved energy balance among SNs.
The system achieved a longer network lifespan due to optimized energy distribution.

Conclusions:

The proposed intelligent bio-inspired system significantly enhances energy efficiency in USNs.
The TSA-based approach for CH election leads to a more balanced energy distribution and extended network operational time.
This method offers a promising solution for improving the longevity and performance of underwater sensor networks.