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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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Related Experiment Video

Updated: Apr 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Adaptive MANET multipath routing algorithm based on the simulated annealing approach.

Sungwook Kim1

  • 1Department of Computer Science, Sogang University, Sinsu dong 1, Mapo-ku, Seoul 121-742, Republic of Korea.

Thescientificworldjournal
|July 18, 2014
PubMed
Summary

This study introduces a novel multipath routing scheme for mobile ad hoc networks (MANETs) using simulated annealing. The new approach enhances network performance, improving energy, throughput, and reducing packet loss in dynamic environments.

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Last Updated: Apr 26, 2026

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

1.3K

Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Communication

Background:

  • Mobile ad hoc networks (MANETs) lack fixed infrastructure, posing significant routing challenges due to dynamic topologies and decentralized control.
  • Efficient routing is critical for MANETs to maintain connectivity and performance in unpredictable environments.

Purpose of the Study:

  • To propose a novel multipath routing scheme for MANETs.
  • To leverage a metaheuristic approach, specifically simulated annealing, for robust routing solutions.
  • To evaluate the proposed scheme's effectiveness in dynamic and challenging network conditions.

Main Methods:

  • A new multipath routing scheme was developed using the simulated annealing algorithm.
  • The proposed scheme was simulated and compared against existing routing protocols.
  • Performance metrics including average remaining energy, network throughput, packet loss probability, and traffic load distribution were analyzed.

Main Results:

  • The simulated annealing-based multipath routing scheme demonstrated superior adaptability to dynamic network variations.
  • Key performance indicators showed significant improvements: average remaining energy (+10%), network throughput (+10%), packet loss probability (-5%), and traffic load distribution (+10%) compared to existing schemes.

Conclusions:

  • The proposed simulated annealing multipath routing scheme offers a powerful and effective solution for MANET routing problems.
  • The approach provides substantial performance gains, making it well-suited for hostile and dynamic real-world network scenarios.