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

Optimal Foraging

Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

SFG Algebra

SFG Algebra

In Signal Flow Graph (SFG) algebra, the value a node represents is determined by the sum of all signals entering that node. This summed value is then transmitted through every branch leaving the node, making the SFG a powerful tool for visualizing and analyzing control systems.
Each node in an SFG corresponds to a variable, and the interactions between nodes are represented by branches with associated gains. When multiple branches lead into a node, the value at that node is the sum of the...

Signal Flow Graphs

Signal Flow Graphs

Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...

Circuit Terminology

Circuit Terminology

An electrical network is a system composed of interconnected elements, such as resistors, capacitors, inductors, and voltage or current sources. Unlike a circuit, an electrical network does not necessarily form a closed path. In other words, while all circuits can be considered networks due to their interconnected nature, not every network qualifies as a circuit.
A circuit, on the other hand, is also an interconnected system of electrical elements but must contain one or more closed paths.

Distributed Loads: Problem Solving

Distributed Loads: Problem Solving

Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...

You might also read

Related Articles

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

Sort by

Same author

Predicting properties of antifungal drug molecules using neighborhood degree topological indices.

Scientific reports·2026

Same author

Design and evaluation of bayesian optimized hybrid deep learning model for forecasting crop yields using climate dynamics.

Scientific reports·2026

Same author

An innovative fuzzy Revan index with CRITIC integration in multi-criterion decision-making.

Scientific reports·2026

Same author

Exploring anticancer drug structures through vertex based resolving parameters.

Scientific reports·2026

Same author

An Intelligent Hybrid Ensemble Model for Early Detection of Breast Cancer in Multidisciplinary Healthcare Systems.

Diagnostics (Basel, Switzerland)·2026

Same author

On QSPR analysis for predicting efficacy of physicochemical properties of antibiotics drugs via topological indices and regression models.

Journal of molecular graphics & modelling·2026

Search research articles

Related Experiment Video

Updated: Jan 11, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Optimizing wireless sensor networks using fuzzy triangular snake graph models and fuzzy topological indices.

Atef F Hashem¹, Shama Liaqat², Zeeshan Saleem Mufti²

¹Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Riyadh, Saudi Arabia.

Scientific Reports

|November 19, 2025

Summary

This summary is machine-generated.

This study introduces fuzzy graph theory to wireless sensor networks (WSNs) using a fuzzy triangular snake model. This approach enhances network resilience and optimizes energy consumption for reliable communication.

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Related Experiment Videos

Last Updated: Jan 11, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Area of Science:

Graph Theory
Network Science
Fuzzy Mathematics

Background:

Wireless Sensor Networks (WSNs) require robust and energy-efficient designs.
Traditional graph models may not fully capture the uncertainties inherent in WSNs.
Fuzzy graph theory offers a framework to model and analyze systems with imprecise information.

Purpose of the Study:

To investigate advanced fuzzy indices on a fuzzy triangular snake graph.
To apply these fuzzy indices to model Wireless Sensor Networks (WSNs).
To evaluate the network's structural efficiency, robustness, and fault tolerance.

Main Methods:

Derivation of closed-form formulas for various fuzzy graph indices (Zagreb, Harmonic, Randić, etc.).
Application of these indices to a WSN modeled with redundant triangular connectivity.
Analysis of network performance metrics like structural efficiency, robustness, and fault tolerance.

Main Results:

The fuzzy triangular snake topology demonstrates balanced node connectivity.
The model effectively minimizes energy imbalance within the WSN.
Enhanced ability to maintain reliable communication despite node failures and uncertainties.

Conclusions:

The fuzzy triangular snake model is applicable for optimizing energy and resilience in WSNs.
Fuzzy graph theory provides a valuable tool for designing modern communication networks.
A strong correlation exists between fuzzy graph theory and resilient WSN design.