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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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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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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...
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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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Design of Edge-IoMT Network Architecture with Weight-Based Scheduling.

Li-Min Tseng1, Ping-Feng Chen1, Chih-Yu Wen1,2,3

  • 1Department of Electrical Engineering, National Chung Hsing University, Taichung 402, Taiwan.

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|October 28, 2023
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Summary

This study introduces an autonomous network for population health monitoring using the Internet of Medical Things (IoMT). The proposed architecture reduces data delay and jitter, enhancing efficiency for body area networks.

Keywords:
clusteringdata compressionnetwork traffic controlscheduling algorithmtopology management

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Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Network Engineering

Background:

  • Population health monitoring is crucial for healthcare improvement.
  • The Internet of Medical Things (IoMT) offers a promising platform for remote health data collection.
  • Existing network architectures face challenges in scalability and efficiency for real-time physiological signal transmission.

Purpose of the Study:

  • To develop an autonomous, scalable, and efficient network architecture for population health monitoring using IoMT.
  • To optimize data collection, forwarding, and transmission scheduling for physiological signals.
  • To improve energy consumption and reduce network latency and jitter.

Main Methods:

  • A distributed network architecture with a cluster topology was designed.
  • Relay nodes were utilized for information forwarding.
  • Edge computing, data compression, and Weighted Fair Queueing (WFQ)-based scheduling algorithms were applied.
  • Network performance was evaluated against existing mechanisms like Low Latency Queueing (LLQ).

Main Results:

  • The proposed WFQ-based algorithms reduced delay by approximately 40% and jitter by 19.47% compared to LLQ.
  • The novel network topology demonstrated superior energy efficiency over direct path transmission.
  • The architecture supports self-organizing population health monitoring.

Conclusions:

  • The developed autonomous network architecture significantly enhances the efficiency and scalability of IoMT-based population health monitoring.
  • The proposed scheduling algorithms effectively minimize delay and jitter for physiological signal transmission.
  • This approach paves the way for improved medical applications utilizing body area networks.