Energy-efficient path-aware routing Protocol based on PSO for Smart Grids

Djamila Mechta, Saad Harous, Sara Hebal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

A smart grid (SG) is considered as a complex system that has opened new research directions where energy routing problems take important interest. The QoS-aware energy routing problem is a NP-hard problem. Although, the QoS problem is naturally multi-objective optimization problem. Most of the existing approaches related to the energy routing problem in SG solve it in single-objective optimization context using traditional techniques (graph theory, autonomous systems, game theory,... etc). In this paper, we aim to tackle the problem in multi-objective optimization context based on bio-inspired paradigms. To achieve this, we propose an optimized Energy Routing technique using a Particle Swarm Optimization (PSO) meta-heuristic. This technique requires less computation, and it has the advantages of reliability, fast speed, robustness, strong global convergence ability.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Electro Information Technology, EIT 2020
PublisherIEEE Computer Society
Pages93-97
Number of pages5
ISBN (Electronic)9781728153179
DOIs
Publication statusPublished - Jul 2020
Event2020 IEEE International Conference on Electro Information Technology, EIT 2020 - Chicago, United States
Duration: Jul 31 2020Aug 1 2020

Publication series

NameIEEE International Conference on Electro Information Technology
Volume2020-July
ISSN (Print)2154-0357
ISSN (Electronic)2154-0373

Conference

Conference2020 IEEE International Conference on Electro Information Technology, EIT 2020
Country/TerritoryUnited States
CityChicago
Period7/31/208/1/20

Keywords

  • Energy routing
  • Multi-objective Optimization
  • Particle Swarm Optimization (PSO)
  • Smart grid

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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