Finding scalable configurations for AEDB broadcasting protocol using multi-objective evolutionary algorithms

  • Authors:
  • Patricia Ruiz;Bernabe Dorronsoro;Pascal Bouvry

  • Affiliations:
  • University of Luxembourg, Luxembourg, Luxembourg;Interdisciplinary Center of Security, Reliability, and Trust, Luxembourg, Luxembourg;University of Luxembourg, Luxembourg, Luxembourg

  • Venue:
  • Cluster Computing
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

Energy consumption is one of the main concerns in mobile ad hoc networks (or MANETs). The lifetime of its devices highly depends on the energy consumption as they rely on batteries. The adaptive enhanced distance based broadcasting algorithm, AEDB, is a message dissemination protocol for MANETs that uses cross-layer technology to highly reduce the energy consumption of devices in the process, while still providing competitive performance in terms of coverage and time. We use two different multi-objective evolutionary algorithms to optimize the protocol on three network densities, and we evaluate the scalability of the best found AEDB configurations on larger networks and different densities.