Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example01:23

Design Example

350
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
350
Maximum Power Transfer01:16

Maximum Power Transfer

315
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
315
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

148
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
148
Transmission Line Design Considerations01:23

Transmission Line Design Considerations

187
Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
187
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

698
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
698
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.7K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K

You might also read

Related Articles

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

Sort by
Same author

Development of a Novel Convolution to Interactive Capture and Recalibration Enhancement Module for Underwater Fish Detection in Sensor Networks.

Sensors (Basel, Switzerland)·2026
Same author

HBV-IoT: Hierarchical Blockchain-Based Vehicular IoT Network Model for Secured Traffic Monitoring and Control Management.

Sensors (Basel, Switzerland)·2026
Same author

Proposal for Computationally Efficient Fog Computing System for Coffee Berry Borer Detection via Optimized YOLOv26.

Sensors (Basel, Switzerland)·2026
Same author

Machine Learning-Driven Computer Vision System for Automated Fat and Energy Quantification in Human Milk Microcapillaries.

Sensors (Basel, Switzerland)·2026
Same author

Securing Data in Vehicles: Privacy-Preserving Frameworks for Dynamic CAV Environments.

Sensors (Basel, Switzerland)·2026
Same author

Multivariate Gas Sensor E-Nose System with PARAFAC and Machine Learning Modeling for Quantifying and Classifying the Impact of Fishing Gears.

Sensors (Basel, Switzerland)·2026

Related Experiment Video

Updated: Aug 7, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

621

Towards a Smart Environment: Optimization of WLAN Technologies to Enable Concurrent Smart Services.

Ali Mohd Ali1, Mohammad R Hassan1, Ahmad Al-Qerem2

  • 1Communications and Computer Engineering Department, Faculty of Engineering, Al-Ahliyya Amman University, Amman 19328, Jordan.

Sensors (Basel, Switzerland)
|March 11, 2023
PubMed
Summary

This study optimizes wireless network configurations for smart environments by analyzing service distributions and proposing a new algorithm for selecting IEEE 802.11 technologies to enhance Quality of Service (QoS).

Keywords:
IEEE technologiesQoS performance analysisreal-time applicationssmart environment

More Related Videos

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.1K
Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

3.8K

Related Experiment Videos

Last Updated: Aug 7, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

621
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.1K
Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

3.8K

Area of Science:

  • Computer Science
  • Networking
  • Wireless Communication

Background:

  • Smart environments utilize diverse services like Voice over Internet Protocol (VoIP), Video Conferencing (VC), Hypertext Transfer Protocol (HTTP), and Electronic Mail.
  • Simultaneous activation of these services in mixed applications necessitates efficient network resource allocation.
  • Existing network architectures (BSS, ESS, IBSS) require optimization for varying service demands and spatial distributions.

Purpose of the Study:

  • To develop a network prioritization framework for smart environments.
  • To identify optimal IEEE 802.11 technologies and network configurations for specific smart applications.
  • To provide guidance for resource-efficient technology selection and network setup.

Main Methods:

  • Investigated spatial distributions (circular, random, uniform) of five network services.
  • Developed a novel algorithm to assess real-time and best-effort services.
  • Applied a network Quality of Service (QoS) modeling technique for IEEE 802.11 protocols.
  • Ranked IEEE 802.11 technologies using a proposed network optimization technique.

Main Results:

  • A network prioritization framework was presented for smart environments.
  • The study assessed the performance of various IEEE 802.11 technologies under different service distributions.
  • A new algorithm was established for evaluating real-time and best-effort service performance.
  • Case studies demonstrated the ranking of technologies for optimal network architecture.

Conclusions:

  • The proposed framework and algorithm enable informed selection of WLAN standards for smart applications.
  • Optimized network configurations can be determined without resource wastage or extensive re-setup.
  • The research validates a realistic smart environment simulation for assessing network performance metrics.