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, cilt.12, sa.3, ss.194-199, 2017 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 12 Sayı: 3
  • Basım Tarihi: 2017
  • Doi Numarası: 10.12720/jcm.12.3.194-199
  • Dergi Adı: Journal of Communications
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.194-199
  • Anahtar Kelimeler: MDS, Multidimensional scaling, Particle swarm optimization, Scaling by majorizing a complicated function, SMACOF
  • Ankara Üniversitesi Adresli: Evet

Özet

© 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.