ACO-based Distributed Energy Routing Protocol in Smart Grid

Sara Hebal, Djamila Mechta, Saad Harous

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

5 Citations (Scopus)

Abstract

The bidirectional flow of power and communication, and the integration of distributed renewable energy sources in smart grid (SG) have lead to the emergence of the energy routing problem. A lot of interest has been given to energy routing problem in aim of minimizing the transmission cost and ensuring the reliability and efficiency of the smart grid. Historically, traditional techniques are used to solve this problem, such as graph theory, autonomous systems, game theory,... ect. In this paper, we attempt to solve this problem with different method, we formalized the problem of determining the energy efficient path as an optimization problem. As a solution for this problem we propose a Bio-Inspired Energy Routing Algorithm based on Ant Colony Optimization (ACO-ERP).

Original languageEnglish
Title of host publication2019 IEEE 10th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2019
EditorsSatyajit Chakrabarti, Himadri Nath Saha
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages568-571
Number of pages4
ISBN (Electronic)9781728138855
DOIs
Publication statusPublished - Oct 2019
Event10th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2019 - New York City, United States
Duration: Oct 10 2019Oct 12 2019

Publication series

Name2019 IEEE 10th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2019

Conference

Conference10th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2019
Country/TerritoryUnited States
CityNew York City
Period10/10/1910/12/19

Keywords

  • Ant colony optimization(ACO)
  • Energy efficient path
  • Energy routing
  • Smart grid
  • Transmission cost

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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