Skip to main content

2017 | OriginalPaper | Buchkapitel

Healing Partitioned Wireless Sensor Networks

verfasst von : Gaurav Kumar, Virender Ranga

Erschienen in: Ubiquitous Computing and Ambient Intelligence

Verlag: Springer International Publishing

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

search-config
loading …

Abstract

Sensor nodes in wireless sensor networks are prone to failures because of their sensitiveness in the harsh surroundings. Sometimes, a failure of large scale nodes may occur in the deployed network and it converts connected network into disjoint segments called network partition problem. Therefore, a deployed application demands a continuous fault repairing mechanism to repair the lost connectivity. Deployment of additional relay node in damaged network is one of the best methods to restore the network operation. However, the relay node placement problem is shown to be an NP-hard problem. In this paper, we propose a swarm intelligence based solution to find the best locations of relay node placement in polynomial time. The simulation results show the performance gain of proposed solution over the state-of-the-art solutions.

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

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 "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"

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 Ranga, V., Dave, M., Verma, A.K.: Network partitioning recovery mechanisms in WSANs: a survey. Wirel. Pers. Commun. 72, 857–917 (2013)CrossRef Ranga, V., Dave, M., Verma, A.K.: Network partitioning recovery mechanisms in WSANs: a survey. Wirel. Pers. Commun. 72, 857–917 (2013)CrossRef
2.
Zurück zum Zitat Verma, A., Ranga, V., Angra, S.: Relay node placement techniques in wireless sensor networks. In: 2015 IEEE International Conference on Green Computing and Internet of Things (ICGCIoT), pp. 1384–1389 (2015) Verma, A., Ranga, V., Angra, S.: Relay node placement techniques in wireless sensor networks. In: 2015 IEEE International Conference on Green Computing and Internet of Things (ICGCIoT), pp. 1384–1389 (2015)
3.
Zurück zum Zitat Ranga, V., Dave, M., Verma, A.K.: Node stability aware energy efficient single node failure recovery approach for WSANs. Malays. J. Comput. Sci. 29(2), 106–123 (2016) Ranga, V., Dave, M., Verma, A.K.: Node stability aware energy efficient single node failure recovery approach for WSANs. Malays. J. Comput. Sci. 29(2), 106–123 (2016)
4.
Zurück zum Zitat Ranga, V., Dave, M., Verma, A.K.: A hybrid timer based single node failure recovery approach for WSANs. Wirel. Pers. Commun. 77(3), 2155–2182 (2014)CrossRef Ranga, V., Dave, M., Verma, A.K.: A hybrid timer based single node failure recovery approach for WSANs. Wirel. Pers. Commun. 77(3), 2155–2182 (2014)CrossRef
5.
Zurück zum Zitat Ranga, V., Dave, M., Verma, A.K.: Relay node placement to heal partitioned wireless sensor networks. Comput. Electr. Eng. 48, 371–388 (2015)CrossRef Ranga, V., Dave, M., Verma, A.K.: Relay node placement to heal partitioned wireless sensor networks. Comput. Electr. Eng. 48, 371–388 (2015)CrossRef
6.
Zurück zum Zitat Zhao, C., Chen, P.G.: Particle swarm optimization for optimal deployment of relay nodes in hybrid sensor networks. In: IEEE Congress on Evolutionary Computation. CEC 2007, pp. 3316–3320. IEEE, (2007) Zhao, C., Chen, P.G.: Particle swarm optimization for optimal deployment of relay nodes in hybrid sensor networks. In: IEEE Congress on Evolutionary Computation. CEC 2007, pp. 3316–3320. IEEE, (2007)
7.
Zurück zum Zitat Hashim, H.A., Ayinde, B.O., Abido, M.A.: Optimal placement of relay nodes in wireless sensor network using artificial bee colony algorithm. J. Netw. Comp. Appl. 64, 239–248 (2016)CrossRef Hashim, H.A., Ayinde, B.O., Abido, M.A.: Optimal placement of relay nodes in wireless sensor network using artificial bee colony algorithm. J. Netw. Comp. Appl. 64, 239–248 (2016)CrossRef
8.
Zurück zum Zitat Kamal, K.R.: Ant colony optimization for jointly solving relay node placement and trajectory calculation in hierarchical wireless sensor networks (2014) Kamal, K.R.: Ant colony optimization for jointly solving relay node placement and trajectory calculation in hierarchical wireless sensor networks (2014)
9.
Zurück zum Zitat Azharuddin, M., Jana, P.K.: A ga-based approach for fault tolerant relay node placement in wireless sensor networks. In: 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT), pp. 1–6. IEEE, (2015) Azharuddin, M., Jana, P.K.: A ga-based approach for fault tolerant relay node placement in wireless sensor networks. In: 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT), pp. 1–6. IEEE, (2015)
10.
Zurück zum Zitat Mirjalili, S., Mirjalili, S.M., Lewis, A.: Grey wolf optimizer. Adv. Eng. Softw. 69, 46–61 (2014)CrossRef Mirjalili, S., Mirjalili, S.M., Lewis, A.: Grey wolf optimizer. Adv. Eng. Softw. 69, 46–61 (2014)CrossRef
11.
Zurück zum Zitat Senel, F., Younis, M., Akkaya, K.: A robust relay node placement heuristic for structurally damaged wireless sensor networks. In: IEEE 34th Conference on Local Computer Networks. LCN 2009, pp. 633–640. IEEE, (2009) Senel, F., Younis, M., Akkaya, K.: A robust relay node placement heuristic for structurally damaged wireless sensor networks. In: IEEE 34th Conference on Local Computer Networks. LCN 2009, pp. 633–640. IEEE, (2009)
12.
Zurück zum Zitat Chen, Q., Hu, Y., Chen, Z., Grout, V., Zhang, D., Wang, H., Xing, H., Improved relay node placement algorithm for wireless sensor networks application in wind farm. In: 2013 IEEE International Conference on Smart Energy Grid Engineering (SEGE), pp. 1–6. IEEE, (2013) Chen, Q., Hu, Y., Chen, Z., Grout, V., Zhang, D., Wang, H., Xing, H., Improved relay node placement algorithm for wireless sensor networks application in wind farm. In: 2013 IEEE International Conference on Smart Energy Grid Engineering (SEGE), pp. 1–6. IEEE, (2013)
13.
Zurück zum Zitat Lee, S., Younis, M.: Optimized relay node placement for connecting disjoint wireless sensor networks. Comput. Netw. 56(12), 2788–2804 (2012)CrossRef Lee, S., Younis, M.: Optimized relay node placement for connecting disjoint wireless sensor networks. Comput. Netw. 56(12), 2788–2804 (2012)CrossRef
14.
Zurück zum Zitat Bhattacharya, A., Rao, A., Naveen, K., Nishanth, P., Anand, S., Kumar, A.: Qos constrained optimal sink and relay placement in planned wireless sensor networks. In: 2014 International Conference on Signal Processing and Communications (SPCOM), pp. 1–5. IEEE, (2014) Bhattacharya, A., Rao, A., Naveen, K., Nishanth, P., Anand, S., Kumar, A.: Qos constrained optimal sink and relay placement in planned wireless sensor networks. In: 2014 International Conference on Signal Processing and Communications (SPCOM), pp. 1–5. IEEE, (2014)
15.
Zurück zum Zitat Muro, C., Escobedo, R., Spector, L., Coppinger, R.: Wolf-pack (canis lupus) hunting strategies emerge from simple rules in computational simulations. Behav. Proc. 88(3), 192–197 (2011)CrossRef Muro, C., Escobedo, R., Spector, L., Coppinger, R.: Wolf-pack (canis lupus) hunting strategies emerge from simple rules in computational simulations. Behav. Proc. 88(3), 192–197 (2011)CrossRef
16.
Zurück zum Zitat Graham, R.L.: An efficient algorith for determining the convex hull of a finite planar set. Inf. Process. Lett 1(4), 132–133 (1972)CrossRefMATH Graham, R.L.: An efficient algorith for determining the convex hull of a finite planar set. Inf. Process. Lett 1(4), 132–133 (1972)CrossRefMATH
17.
Zurück zum Zitat Cheng, X., Du, D.-Z., Wang, L., Xu, B.: Relay sensor placement in wireless sensor networks. Wirel. Netw. 14(3), 347–355 (2008)CrossRef Cheng, X., Du, D.-Z., Wang, L., Xu, B.: Relay sensor placement in wireless sensor networks. Wirel. Netw. 14(3), 347–355 (2008)CrossRef
Metadaten
Titel
Healing Partitioned Wireless Sensor Networks
verfasst von
Gaurav Kumar
Virender Ranga
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-67585-5_54