Soft Computing

, Volume 18, Issue 9, pp 1745–1756

Multi-objective performance optimization of a probabilistic similarity/dissimilarity-based broadcasting scheme for mobile ad hoc networks in disaster response scenarios

Authors

  • D. G. Reina
    • Electronic Engineering DepartmentUniversity of Seville
  • J. M. León-Coca
    • Electronic Engineering DepartmentUniversity of Seville
  • S. L. Toral
    • Electronic Engineering DepartmentUniversity of Seville
  • E. Asimakopoulou
    • School of Computing and MathsUniversity of Derby
  • F. Barrero
    • Electronic Engineering DepartmentUniversity of Seville
  • P. Norrington
    • Institute for Research in Applicable ComputingUniversity of Bedfordshire
    • School of Computing and MathsUniversity of Derby
    • Department of Computer Science and TechnologyUniversity of Bedfordshire
Focus

DOI: 10.1007/s00500-013-1207-3

Cite this article as:
Reina, D.G., León-Coca, J.M., Toral, S.L. et al. Soft Comput (2014) 18: 1745. doi:10.1007/s00500-013-1207-3

Abstract

Communications among crewmembers in rescue teams and among victims are crucial to relieve the consequences and damages of a disaster situation. A common communication system for establishing real time communications between the elements (victims, crewmembers, people living in the vicinity of the disaster scenario, among others) involved in a disaster scenario is required. Ad hoc networks have been envisioned for years as a possible solution. They allow users to establish decentralized communications quickly and using common devices like mobile phones. Broadcasting is the main mechanism used to disseminate information in all-to-all fashion in ad hoc networks. The objective of this paper is to optimize a broadcasting scheme based on similarity/dissimilarity coefficient designed for disaster response scenarios through a multi-objective optimization problem in which several performance metrics such as reachability, number of retransmissions and delay are optimized simultaneously.

Keywords

MANETsDisaster response scenariosSimilarity/dissimilarity coefficientsMulti-objective optimization

Copyright information

© Springer-Verlag Berlin Heidelberg 2013