Skip to main content
Erschienen in: Wireless Personal Communications 2/2016

01.01.2016

Modified Bat Algorithm for Localization of Wireless Sensor Network

verfasst von: Sonia Goyal, Manjeet Singh Patterh

Erschienen in: Wireless Personal Communications | Ausgabe 2/2016

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The problem of node localization in wireless sensor networks aims to assign th e geographical coordinates to each device with unknown position, in the deployment area. In this paper the meta heuristic optimization algorithm known as bat algorithm is described in order to evaluate the precision of node localization problem in wireless sensor networks. Meanwhile the existing bat algorithm has also been modified by using the bacterial foraging strategies of bacterial foraging optimization algorithm. Compared with the existing bat algorithm, the proposed modified bat algorithm is shown through simulations to perform constantly better not only in increasing localization success ratios and fast convergence speed but also enhance its robustness.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Pal, A. (2010). Localization algorithm in wireless sensor networks: Current approaches and future challenges. Network Protocols and Algorithms, 2(1), 45–73.CrossRef Pal, A. (2010). Localization algorithm in wireless sensor networks: Current approaches and future challenges. Network Protocols and Algorithms, 2(1), 45–73.CrossRef
2.
Zurück zum Zitat Kannan, A., Mao, G., & Vucetic, B. (2006). Simulated annealing based wireless sensor network localization. Journal of Computers, 1(2), 15–22.CrossRef Kannan, A., Mao, G., & Vucetic, B. (2006). Simulated annealing based wireless sensor network localization. Journal of Computers, 1(2), 15–22.CrossRef
3.
Zurück zum Zitat Doherty, L. (2001). Convex position estimation in wireless sensor networks. In Twentieth annual joint conference of the IEEE computer and Communication Societies. Doherty, L. (2001). Convex position estimation in wireless sensor networks. In Twentieth annual joint conference of the IEEE computer and Communication Societies.
4.
Zurück zum Zitat Kulkarni, R., Venayagamoorthy, G., & Cheng, M. (2009). Bio-inspired node localization in wireless sensor networks. In Proceedings of IEEE international conference on systems, man, and cybernetics, New York. Kulkarni, R., Venayagamoorthy, G., & Cheng, M. (2009). Bio-inspired node localization in wireless sensor networks. In Proceedings of IEEE international conference on systems, man, and cybernetics, New York.
5.
Zurück zum Zitat Zhang, Q., Wang, J., Jin, C., & Zeng, Q. (2008). Localization algorithm for wireless sensor networks based on genetic simulated annealing algorithm. In International conference on wireless communication networking and mobile computing. Zhang, Q., Wang, J., Jin, C., & Zeng, Q. (2008). Localization algorithm for wireless sensor networks based on genetic simulated annealing algorithm. In International conference on wireless communication networking and mobile computing.
6.
Zurück zum Zitat Zhang, Q., Huang, J., Wang, J., Jin, C., Ye, J., & Zhang, W. (2008). A new centralized localization algorithm for wireless sensor network. In Third international conference on communications and networking in China, physical world with pervasive networks. Zhang, Q., Huang, J., Wang, J., Jin, C., Ye, J., & Zhang, W. (2008). A new centralized localization algorithm for wireless sensor network. In Third international conference on communications and networking in China, physical world with pervasive networks.
7.
Zurück zum Zitat Li, Y., Xing, J., Yang, Q., & Shi, H. (2009). Localization research based on improved simulated annealing algorithm in WSN. In 5th international communications of conference on wireless communications, networking and mobile computing. Li, Y., Xing, J., Yang, Q., & Shi, H. (2009). Localization research based on improved simulated annealing algorithm in WSN. In 5th international communications of conference on wireless communications, networking and mobile computing.
8.
Zurück zum Zitat Gopakumar, A., & Jacob, L. (2008). Localization in wireless sensor networks using particle swarm optimization. In IET international conference on wireless, mobile multimedia networks, New York. Gopakumar, A., & Jacob, L. (2008). Localization in wireless sensor networks using particle swarm optimization. In IET international conference on wireless, mobile multimedia networks, New York.
9.
Zurück zum Zitat Vecchio, M., Valcarce, R. L., & Marcelloni, F. (2012). A two-objective evolutionary approach based on topological constraints for node localization in wireless sensor networks. Applied Soft Computing, 12(7), 1891–1901.CrossRef Vecchio, M., Valcarce, R. L., & Marcelloni, F. (2012). A two-objective evolutionary approach based on topological constraints for node localization in wireless sensor networks. Applied Soft Computing, 12(7), 1891–1901.CrossRef
10.
Zurück zum Zitat Zhao, Q. S., & Meng, G. Y. (2013). A multidimensional scaling localisation algorithm based on bacterial foraging algorithm. International Journal Wireless and Mobile computing, 6(1), 58–65.CrossRef Zhao, Q. S., & Meng, G. Y. (2013). A multidimensional scaling localisation algorithm based on bacterial foraging algorithm. International Journal Wireless and Mobile computing, 6(1), 58–65.CrossRef
11.
Zurück zum Zitat Muller, S., Marchetto, J., Airaghi, S., & Koumoutsakos, P. (2002). Optimization based on bacterial chemotaxis. IEEE Transaction on Evolutionary Computation, 6(1), 16–29.CrossRef Muller, S., Marchetto, J., Airaghi, S., & Koumoutsakos, P. (2002). Optimization based on bacterial chemotaxis. IEEE Transaction on Evolutionary Computation, 6(1), 16–29.CrossRef
12.
Zurück zum Zitat Yang, X. S. (2011). Bat algorithm for multiobjective optimization. International Journal of Bio-inspired Computation, 3(5), 267–274.CrossRef Yang, X. S. (2011). Bat algorithm for multiobjective optimization. International Journal of Bio-inspired Computation, 3(5), 267–274.CrossRef
13.
Zurück zum Zitat Kim, D. H., & Cho, C. H. (2005). Bacterial foraging based neural network fuzzy learning. In Indian international conference on artificial intelligence. Kim, D. H., & Cho, C. H. (2005). Bacterial foraging based neural network fuzzy learning. In Indian international conference on artificial intelligence.
Metadaten
Titel
Modified Bat Algorithm for Localization of Wireless Sensor Network
verfasst von
Sonia Goyal
Manjeet Singh Patterh
Publikationsdatum
01.01.2016
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2016
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-015-2950-9

Weitere Artikel der Ausgabe 2/2016

Wireless Personal Communications 2/2016 Zur Ausgabe

Neuer Inhalt