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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Energy-Aware Multipath Routing Scheme Based on Particle Swarm Optimization in Mobile Ad Hoc Networks.

Y Harold Robinson1, M Rajaram2

  • 1Department of Computer Science and Engineering, SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu 627414, India.

Thescientificworldjournal
|January 29, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces an energy-aware multipath routing scheme using particle swarm optimization (PSO) and continuous time recurrent neural networks (CTRNN) to enhance mobile ad hoc network (MANET) performance and lifetime.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Artificial Intelligence

Background:

  • Mobile ad hoc networks (MANETs) lack fixed infrastructure, making their dynamic topology a challenge for network performance.
  • Multipath selection is crucial for improving MANETs' network lifetime but presents significant optimization difficulties.

Purpose of the Study:

  • To propose an energy-aware multipath routing scheme (EMPSO) for MANETs.
  • To enhance network lifetime and performance by optimizing path selection.

Main Methods:

  • Utilized continuous time recurrent neural networks (CTRNN) for optimization problems.
  • Employed particle swarm optimization (PSO) for training the CTRNN and discovering optimal loop-free paths.
  • Incorporated reliability measures: transmission cost, energy factor, and traffic ratio.

Main Results:

  • The proposed EMPSO scheme effectively identifies optimal loop-free paths.
  • PSO aids in selecting high-quality nodes during route discovery.
  • The scheme enhances routing performance through optimized multipath selection.

Conclusions:

  • The EMPSO scheme offers an effective solution for multipath routing in MANETs.
  • Combining CTRNN and PSO optimizes path selection, improving network efficiency and longevity.