Skip to main content
Erschienen in: Wireless Personal Communications 1/2021

13.11.2020

An Improved Energy Efficient Clustering Protocol for Increasing the Life Time of Wireless Sensor Networks

verfasst von: Salim El Khediri, Nejah Nasri, Rehan Ullah Khan, Abdennaceur Kachouri

Erschienen in: Wireless Personal Communications | Ausgabe 1/2021

Einloggen

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

search-config
loading …

Abstract

The intention behind this article is to devise a fresh clustering algorithm for Wireless Sensor Networks. The major aspiration is to curtail the energy utilization at the cluster building and data transmission levels to the Base Station. The algorithms offered are not dedicated to a particular type of sensor network or a specific application. We consider several parameters when choosing Cluster Head such as energy, degree and distance. These parameters have been studied separately or in combination in several literature works and their efficiency in terms of energy utilization and structural stability have been shown. The proposed approach is termed as the Distance Energy Evaluated (DEE) Approach. The DEE approach has lower intricacy in message size. The proposed approach is tested by running various MATLAB simulations. The results illustrate that our proposed protocol has shown significant improvement as compared to other approaches in terms of the lifespan of the network and energy usage.

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 El Khediri, S., Nasri, N., & Kachouri, A. (2013). Probabilistic energy value for clustering in wireless sensors networks. El Khediri, S., Nasri, N., & Kachouri, A. (2013). Probabilistic energy value for clustering in wireless sensors networks.
2.
Zurück zum Zitat Verdone, R., Palazzo, S. & Zorzi, M. (2008). Wireless sensor networks. In: Proceedings of 5th European conference, EWSN 2008, Bologna, Italy, vol. 4913. Verdone, R., Palazzo, S. & Zorzi, M. (2008). Wireless sensor networks. In: Proceedings of 5th European conference, EWSN 2008, Bologna, Italy, vol. 4913.
3.
Zurück zum Zitat SK Singh P Kumar JP Singh 2018 An energy efficient protocol to mitigate hot spot problem using unequal clustering in WSN Wireless Personal Communications 101 2 799 827CrossRef SK Singh P Kumar JP Singh 2018 An energy efficient protocol to mitigate hot spot problem using unequal clustering in WSN Wireless Personal Communications 101 2 799 827CrossRef
4.
Zurück zum Zitat J Yick B Mukherjee D Ghosal 2008 Wireless sensor network survey Computer Networks 52 12 2292 2330CrossRef J Yick B Mukherjee D Ghosal 2008 Wireless sensor network survey Computer Networks 52 12 2292 2330CrossRef
5.
Zurück zum Zitat Z Ullah 2020 A survey on hybrid, energy efficient and distributed (HEED) based energy efficient clustering protocols for wireless sensor networks Wireless Personal Communications 23 1 29 Z Ullah 2020 A survey on hybrid, energy efficient and distributed (HEED) based energy efficient clustering protocols for wireless sensor networks Wireless Personal Communications 23 1 29
6.
Zurück zum Zitat WB Heinzelman AP Chandrakasan H Balakrishnan 2002 An application-specific protocol architecture for wireless microsensor networks IEEE Transactions on Wireless Communications 1 4 660 670CrossRef WB Heinzelman AP Chandrakasan H Balakrishnan 2002 An application-specific protocol architecture for wireless microsensor networks IEEE Transactions on Wireless Communications 1 4 660 670CrossRef
7.
Zurück zum Zitat El Khediri, Salim, et al. (2020). Energy efficient adaptive clustering hierarchy approach for wireless sensor networks. International Journal of Electronics. El Khediri, Salim, et al. (2020). Energy efficient adaptive clustering hierarchy approach for wireless sensor networks. International Journal of Electronics.
8.
Zurück zum Zitat H Singh D Singh 2019 An energy efficient scalable clustering protocol for dynamic wireless sensor networks Wireless Personal Communications 109 4 2637 2662CrossRef H Singh D Singh 2019 An energy efficient scalable clustering protocol for dynamic wireless sensor networks Wireless Personal Communications 109 4 2637 2662CrossRef
9.
Zurück zum Zitat L. Han (2011). Leach-hpr: An energy efficient routing algorithm for heterogeneous WSN. In: IEEE international conference on intelligent computing and intelligent systems (ICIS). L. Han (2011). Leach-hpr: An energy efficient routing algorithm for heterogeneous WSN. In: IEEE international conference on intelligent computing and intelligent systems (ICIS).
10.
Zurück zum Zitat O Younis S Fahmy 2004 HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks IEEE Transactions on Mobile Computing 3 4 366 379CrossRef O Younis S Fahmy 2004 HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks IEEE Transactions on Mobile Computing 3 4 366 379CrossRef
11.
Zurück zum Zitat Aslam, M., et al. (2012). Survey of extended LEACH-based clustering routing protocols for wireless sensor networks. In: 2012 IEEE 14th international conference on high performance computing and communication & 2012 IEEE 9th international conference on embedded software and systems. Aslam, M., et al. (2012). Survey of extended LEACH-based clustering routing protocols for wireless sensor networks. In: 2012 IEEE 14th international conference on high performance computing and communication & 2012 IEEE 9th international conference on embedded software and systems.
12.
Zurück zum Zitat F Fanian MK Rafsanjani 2019 Cluster-based routing protocols in wireless sensor networks: A survey based on methodology Journal of Network and Computer Applications 142 111 142CrossRef F Fanian MK Rafsanjani 2019 Cluster-based routing protocols in wireless sensor networks: A survey based on methodology Journal of Network and Computer Applications 142 111 142CrossRef
13.
Zurück zum Zitat Tong, M., & Tang, M. (2010). LEACH-B: An improved LEACH protocol for wireless sensor network. In: Wireless communications networking and mobile computing (WiCOM), 2010 6th international conference on (pp. 1–4). IEEE. Tong, M., & Tang, M. (2010). LEACH-B: An improved LEACH protocol for wireless sensor network. In: Wireless communications networking and mobile computing (WiCOM), 2010 6th international conference on (pp. 1–4). IEEE.
14.
Zurück zum Zitat P Ding J Holliday A Celik 2005 Distributed energy-efficient hierarchical clustering for wireless sensor networks International conference on distributed computing in sensor systems Springer, Berlin, HeidelbergCrossRef P Ding J Holliday A Celik 2005 Distributed energy-efficient hierarchical clustering for wireless sensor networks International conference on distributed computing in sensor systems Springer, Berlin, HeidelbergCrossRef
15.
Zurück zum Zitat N Nasri A Ben Fradj A Kachouri 2017 Optimized cross-layer synchronization schemes for wireless sensor networks International Journal of Electronics 104 7 1178 1189CrossRef N Nasri A Ben Fradj A Kachouri 2017 Optimized cross-layer synchronization schemes for wireless sensor networks International Journal of Electronics 104 7 1178 1189CrossRef
16.
Zurück zum Zitat H Ali W Shahzad FA Khan 2012 Energy-efficient clustering in mobile ad-hoc networks using multi-objective particle swarm optimization Applied Soft Computing 12 7 1913 1928CrossRef H Ali W Shahzad FA Khan 2012 Energy-efficient clustering in mobile ad-hoc networks using multi-objective particle swarm optimization Applied Soft Computing 12 7 1913 1928CrossRef
17.
Zurück zum Zitat Jorio, A., El Fkihi, S., Elbhiri, B., & Aboutajdine, D. (2015). An energy-efficient clustering routing algorithm based on geographic position and residual energy for wireless sensor networks. Journal of Computer Networks and Communications. Jorio, A., El Fkihi, S., Elbhiri, B., & Aboutajdine, D. (2015). An energy-efficient clustering routing algorithm based on geographic position and residual energy for wireless sensor networks. Journal of Computer Networks and Communications.
18.
Zurück zum Zitat M Aissa A Belghith K Drira 2013 New strategies and extensions in weighted clustering algorithms for mobile ad hoc networks Procedia Computer Science 19 297 304CrossRef M Aissa A Belghith K Drira 2013 New strategies and extensions in weighted clustering algorithms for mobile ad hoc networks Procedia Computer Science 19 297 304CrossRef
19.
Zurück zum Zitat PS Mann S Singh 2017 Improved metaheuristic based energy-efficient clustering protocol for wireless sensor networks Engineering Applications of Artificial Intelligence 57 142 152CrossRef PS Mann S Singh 2017 Improved metaheuristic based energy-efficient clustering protocol for wireless sensor networks Engineering Applications of Artificial Intelligence 57 142 152CrossRef
Metadaten
Titel
An Improved Energy Efficient Clustering Protocol for Increasing the Life Time of Wireless Sensor Networks
verfasst von
Salim El Khediri
Nejah Nasri
Rehan Ullah Khan
Abdennaceur Kachouri
Publikationsdatum
13.11.2020
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2021
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07727-y

Weitere Artikel der Ausgabe 1/2021

Wireless Personal Communications 1/2021 Zur Ausgabe

Neuer Inhalt