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Related Concept Videos

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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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...
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Distributed Loads01:19

Distributed Loads

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Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
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Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

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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.
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Multimachine Stability01:25

Multimachine Stability

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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
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Relation Between the Distributed Load and Shear01:23

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Understanding the relationship between the distributed load and shear force in structural analysis is crucial for analyzing beams subjected to various loading conditions. Consider the case of a beam experiencing a distributed load, two concentrated loads, and a couple moment.
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The analysis of suspension bridges is a complex and critical process that involves multiple factors, including the shape and tension of the main cables. The main cables of suspension bridges are subjected to distributed loads, which result in changes in tensile forces and deformation of the cable. These loads must be carefully considered to ensure that the bridge is safe and capable of supporting the weight of different loads.
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Related Experiment Video

Updated: Dec 9, 2025

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

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Published on: September 8, 2023

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Distributed Node Scheduling with Adjustable Weight Factor for Ad-hoc Networks.

Wonseok Lee1, Taehong Kim1, Taejoon Kim1

  • 1School of Information and Communication Engineering, Chungbuk National University, Chungju 28644, Korea.

Sensors (Basel, Switzerland)
|September 10, 2020
PubMed
Summary
This summary is machine-generated.

A new distributed scheduling scheme for ad-hoc networks prioritizes packet importance using weight factors. This improves throughput and reduces delay by managing high and low importance queues effectively.

Keywords:
ad-hoc networkdistributed schedulingfairnessweight factor

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Area of Science:

  • Computer Science
  • Networking

Background:

  • Ad-hoc networks require efficient scheduling to manage varying packet priorities.
  • Existing schemes may not adequately balance throughput and delay for differentiated services.

Purpose of the Study:

  • To propose a novel distributed scheduling scheme for ad-hoc networks.
  • To enhance packet throughput and reduce delay by prioritizing packets based on importance.
  • To improve fairness in traffic management within the network.

Main Methods:

  • Implemented a distributed scheduling scheme with two queues per node (high and low importance).
  • Introduced intra-node slot reallocation based on self-fairness (weight factors and traffic loads).
  • Utilized an inter-node reallocation algorithm (LocalVoting) for enhanced fairness among same-importance traffics.

Main Results:

  • The proposed algorithm successfully adjusted packet delivery performance based on predefined weight factors.
  • Achieved superior throughput and delay performance compared to conventional algorithms.
  • Demonstrated excellent performance through low average delay and high throughput.

Conclusions:

  • The novel distributed scheduling scheme effectively manages packet importance in ad-hoc networks.
  • The scheme offers a flexible approach to balancing throughput and delay according to traffic needs.
  • The algorithm provides a robust solution for improving ad-hoc network performance.