A Comparative Analysis of LEACH, TEEN, SEP and DEEC in Hierarchical Clustering Algorithm for WSN Sensors

  • Anitha Amaithi RajanEmail author
  • Aravind Swaminathan
  • Brundha
  • Beslin Pajila
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 33)


Remote sensor system (RSS) is a framework formed with an extensive number of minimal effort micro-sensors. Number of messages can be sent to the base station (BS) by using this system. RSS includes ease hubs with affected battery power, additionally the battery swap isn’t easy for WSN with thousands of physically inserted hubs, which suggests vitality productive steering convention to supply a long-labor of affection time. To accomplish the point, we require not just minimizing absolute vitality utilization additionally to adjust WSN load. Scientists have proposed numerous conventions, for example, LEACH, TEEN, SEP, DEEC. The elective Cluster Heads (CHs) communicate the base Station (BS) through beta elective nodes, by exploitation multi-hopping. We tend to logically divide the network into two elements, on the idea of the residual energy of nodes. The normal nodes with high initial and residual energy are going to be extremely probable to be CHs than the nodes with minor energy. The algorithms applied in a situation where initial energies of nodes are different from each other are called as mixed clustering schemes. It is difficult to implement an energy aware mixed clustering algorithm due to the complex energy design of the network.


Remote sensor system Cluster Heads Base station Wireless Sensor Network 


  1. 1.
    Manjeshwar, A., Agrawal, D.P.: TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: Proceedings of 15th International Parallel and Distributed Processing Symposium (2009)Google Scholar
  2. 2.
    Chen, G., Li, C.: An unequal cluster-based routing protocol in wireless sensor networks. Springer (2007)Google Scholar
  3. 3.
    Marin-Perianu, R.S., Scholten, J.: Cluster-based service discovery for heterogeneous wireless sensor networks. Int. J. Parallel Emergent Distrib. Syst. 23, 325–346 (2007)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Kumar, D.: Energy efficient heterogeneous clustered scheme for wireless sensor networks. Comput. Commun. 32, 662–667 (2009)CrossRefGoogle Scholar
  5. 5.
    Kim, K.T., Yoo, H.K.: EECS: an energy efficient cluster scheme in wireless sensor networks. In: IEEE International Conference on Computer and Information Technology (2010)Google Scholar
  6. 6.
    Chaurasiya, V.K., Rahul Kumar, S.: Traffic based clustering in wireless sensor network. In: IEEE WCSN (2008)Google Scholar
  7. 7.
    Mehrani, M.: FEED: fault tolerant, energy efficient, distributed Clustering for WSN. In: Advanced Communication Technology (ICACT). IEEE (2010)Google Scholar
  8. 8.
    Kumar, A., Chand, N.: Location based clustering in wireless sensor network. World Acad. Sci. Eng. Technol. 5, 1313–1320 (2011)Google Scholar
  9. 9.
    Wang, C., Liu, J.: An improved LEACH protocol for application specific wireless sensor networks. In: IEEE: WiCOM 2009 Proceedings of the 5th International Conference on Wireless Communication Networking and Mobile Computing (2009)Google Scholar
  10. 10.
    Saini, P., Sharma, A.K.: Energy efficient scheme for clustering protocol prolonging the lifetime of heterogeneous wireless sensor networks. Int. J. Comput. Appl. 6, 30–36 (2010)Google Scholar
  11. 11.
    Ishmanov, F., Kim, S.W.: Distributed clustering algorithm with load balancing in wireless sensor network. In: IEEE World Congress on Computer Science and Information Engineering (2009)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Anitha Amaithi Rajan
    • 1
    Email author
  • Aravind Swaminathan
    • 1
  • Brundha
    • 1
  • Beslin Pajila
    • 1
  1. 1.Department of Computer Science EngineeringFrancis Xavier Engineering CollegeTirunelveliIndia

Personalised recommendations