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

Mesh Analysis for AC Circuits

Mesh Analysis for AC Circuits

In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, 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...

Design Example: Alignment of a Road Line Using GIS

Design Example: Alignment of a Road Line Using GIS

The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...

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...

Boundary Conditions: Lossless Lines

Boundary Conditions: Lossless Lines

Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...

Network Function of a Circuit

Network Function of a Circuit

Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.

You might also read

Related Articles

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

Sort by

Same author

A Lightweight Anonymous Client⁻Server Authentication Scheme for the Internet of Things Scenario: LAuth.

Sensors (Basel, Switzerland)·2018

Same author

New Approaches to Exciting Exergame-Experiences for People with Motor Function Impairments.

Sensors (Basel, Switzerland)·2017

Same author

An Improved Otsu Threshold Segmentation Method for Underwater Simultaneous Localization and Mapping-Based Navigation.

Sensors (Basel, Switzerland)·2016

Same author

Efficient Forest Fire Detection Index for Application in Unmanned Aerial Systems (UASs).

Sensors (Basel, Switzerland)·2016

Same author

A Survey on Underwater Acoustic Sensor Network Routing Protocols.

Sensors (Basel, Switzerland)·2016

Same author

A Survey on Intermediation Architectures for Underwater Robotics.

Sensors (Basel, Switzerland)·2016

Search research articles

Related Experiment Video

Updated: Apr 5, 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

The Balanced Cross-Layer Design Routing Algorithm in Wireless Sensor Networks Using Fuzzy Logic.

Ning Li¹, José-Fernán Martínez², Vicente Hernández Díaz³

¹Centro de Investigación en Tecnologías Software y Sistemal Multimedia para la Sostenibilidad (CITSEM), Campus Sur Universidad Ploitécnica de Madrid (UPM), Madrid 28031, Spain. li.ning@upm.es.

Sensors (Basel, Switzerland)

|August 13, 2015

Summary

This study introduces a new Balanced Cross-layer Fuzzy Logic (BCFL) routing algorithm for wireless sensor networks. BCFL effectively balances network constraints and adapts to dynamic conditions for improved performance.

Keywords:

balanced performance cross-layer design dynamic weight fuzzy logic routing algorithm

More Related Videos

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Related Experiment Videos

Last Updated: Apr 5, 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

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Area of Science:

Computer Science
Network Engineering
Artificial Intelligence

Background:

Cross-layer design is crucial for wireless sensor network (WSN) communication protocols.
Traditional cross-layer routing algorithms face several disadvantages.
Optimizing routing in WSNs requires balancing multiple, often conflicting, network parameters.

Purpose of the Study:

To propose a novel fuzzy logic-based routing algorithm, Balanced Cross-layer Fuzzy Logic (BCFL), for WSNs.
To address the limitations of existing cross-layer routing methods.
To achieve balanced performance in next-hop relay node selection.

Main Methods:

Developed the Balanced Cross-layer Fuzzy Logic (BCFL) routing algorithm.
Utilized the dispersion of cross-layer parameters as inputs for a fuzzy logic inference system.
Implemented a dynamic weighting mechanism for cross-layer parameters based on dispersion values.

Main Results:

BCFL effectively handles multiple network constraints without increased complexity.
The algorithm achieves balanced performance in selecting the next hop relay node.
Simulation results demonstrate BCFL's ability to adapt to dynamic network conditions and topology changes.

Conclusions:

The proposed BCFL algorithm offers an effective solution for balanced routing in WSNs.
BCFL provides adaptability to dynamic network environments.
This approach enhances WSN communication protocol efficiency through intelligent cross-layer design.