Node localization with MDS-based hybrid algorithms at mobile Ad-Hoc networks

ALTINÖZ Ö. T., AKBULUT A., Numanoglu T., Yenihayat G., Goken C., YILMAZ A.

Journal of Communications, vol.12, no.3, pp.194-199, 2017 (Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 12 Issue: 3
  • Publication Date: 2017
  • Doi Number: 10.12720/jcm.12.3.194-199
  • Journal Name: Journal of Communications
  • Journal Indexes: Scopus
  • Page Numbers: pp.194-199
  • Keywords: MDS, Multidimensional scaling, Particle swarm optimization, Scaling by majorizing a complicated function, SMACOF
  • Ankara University Affiliated: Yes

Abstract

© 2017 Journal of Communications.In wireless ad-hoc networks, the nodes are randomly distributed in a field; and in most cases, only the distances in between the nodes are available practically. The main goal in such a problem is to obtain the coordinates from the data regarding the distance pairs. One of the tools for solving this problem is the Multidimensional Scaling Method (MDS). Additionally, due to the imperfect conditions in the field, the measurement data contains noise and uncertainties. In this study, a sequentially-executed method is proposed with the aid of the combination of Scaling by Majorizing a Complicated Function (SMACOF) method and the Particle Swarm Optimization (PSO). The results show that the proposed framework reduces the error under different environmental conditions.