Wireless Personal Communications

, Volume 109, Issue 3, pp 2067–2075 | Cite as

An Improved Cluster Routing Protocol to Increase the Lifetime of Wireless Sensor Network (WSN)

  • Seyed Ali Fatemi Aghda
  • Mahdi MirfakhraeiEmail author


Wireless sensor networks attracted wide attention among researchers in terms of different aspects. The main challenge in such networks is energy consumption. One of the most popular solutions to this challenge is cluster routing method through which the network is divided into several clusters, and there are a number of cluster heads which normal nodes send data to them; So selection of cluster head is very important. To aim a better network coverage in addition to lowering energy consumption we divided the network into several regions and created clusters within those regions. In addition, we focused on selecting the most suitable node as cluster head through dynamic clustering and including criteria such as node remaining energy, total network energy and node spacing.


Clustering Network lifetime Wireless sensor network (WSN) 



  1. 1.
    Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. Paper presented at the system sciences, proceedings of the 33rd annual Hawaii international.Google Scholar
  2. 2.
    Ningbo, W., & Hao, Z. (2012). An energy efficient algrithm based on LEACH protocol. In 2012 International conference on proceedings of the computer science and electronics engineering (ICCSEE), Hangzhou (pp. 339–342).Google Scholar
  3. 3.
    Singh, S. K., Singh, M. P., & Singh, D. K. (2010). Survey of energy-efficient hierarchical cluster-based routing in wireless sensor networks. In Proceedings of international journal of advanced networking and application (IJANA) (Vol. 02, No. 02, pp: 570–580).Google Scholar
  4. 4.
    Heinzelman, W., Chandrakasan, A., Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings 33rd Hawaii international conference on systems science. Google Scholar
  5. 5.
    Beiranvand, Z., Patooghy, A., & Fazeli, M. (2013). I-LEACH: An efficient routing algorithm to improve performance and to reduce energy consumption in Wireless Sensor Networks. In 2013 5th Conference on paper presented at the information and knowledge technology (IKT).Google Scholar
  6. 6.
    Salim, M. M., Elsayed, H. A., & El Ramly, S. H. (2014). PR-LEACH: Approach for balancing energy dissipation of LEACH protocol for wireless sensor networks. Paper presented at the radio science conference (NRSC) 2014 31st national.Google Scholar
  7. 7.
    Manzoor, B., Javaid, N., Rehman, O., Akbar, M., Nadeem, Q., Iqbal, A., et al. (2013). Q-LEACH: A new routing protocol for WSNs. Procedia Computer Science,19, 926–931.CrossRefGoogle Scholar
  8. 8.
    Wang, A., Yang, D., & Sun, D. (2012). A clustering algorithm based on energy information and cluster heads expectation for wireless sensor networks. Computers and Electrical Engineering,38(3), 662–671.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer Engineering, Yazd BranchIslamic Azad UniversityYazdIran

Personalised recommendations