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Optimization of Distributed Energy Efficient Clustering Variants for Enhancing Lifetime in WSNs

  • G. Karthik ReddyEmail author
  • L. Nirmala Devi
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 26)

Abstract

Wireless Sensor Network (WSNs) consist of enormous amount of computational nodes that periodically monitors and manages target environmental conditions and this information is send to a sink (or central point) that needs high energy usage. Network energy can be utilized effectively by considering the sensors into groups, called clusters consisting of cluster head (CH) which act as a master node and its members are controlled by CH. Energy consumed by CH nodes is high due to its processing as compared to its member nodes. In a cluster initially all members nodes have same amount of initial energy after some rounds energy level of member nodes has different initial energies so we have to use heterogeneity in homogenous networks to improve lifetime of the network. Here in this paper we discussed different protocols such as Distributed energy efficient clustering (DEEC), Developed DEEC (DDEEC) and Enhanced DEEC (EDEEC) are estimated by varying heterogeneous parameters under several scenarios. We observe the performance based on stability period, network lifetime and throughput. However EDEEC outperforms in all sceneries and in different heterogeneous network performance is sustained.

Keywords

Hierarchical Heterogenity Clustering Number of rounds Lifetime Stability period 

Notes

Acknowledgment

This work is supported by Ministry of electronics and Information Technology (MeitY), India as a part of R &D project and Technical Education Quality Improvement Programme of Govt. of India (TEQIP-III).

References

  1. 1.
    Akkaya, K., Younis, M.: A survey of routing protocols in wireless sensor networks. Ad Hoc Netw. 3(3), 325–349 (2005)CrossRefGoogle Scholar
  2. 2.
    Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: WSNs: a survey. Comput. Netw. 38, 393–422 (2002)CrossRefGoogle Scholar
  3. 3.
    Heinzelman, W.R., et al.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceeding of the 33rd Hawaii International Conference on System Sciences, pp. 1–10, January 2000Google Scholar
  4. 4.
    Heinzelman, W.R., Chandrakasan, A.P., Balakrishnan, H.: Application-specific protocol architecture for wireless microsensor networks. IEEE Trans. Wirel. Commun. 1(4), 660–670 (2002)CrossRefGoogle Scholar
  5. 5.
    Lindsey, S., Raghavendra, C.: PEGASIS: power-efficient gathering in sensor information systems. In: Proceedings of the IEEE Aerospace Conference, Montana, vol. 3, pp. 1125–1130 (2002)Google Scholar
  6. 6.
    Young, M.: The Technical Writer’s Handbook. University Science, Mill Valley (1989)Google Scholar
  7. 7.
    Smaragdakis, G., Matta, I., Bestavros, A.: SEP: a stable election protocol for clustered heterogeneous WSNs. In: Second International Workshop on Sensor and Actor Network Protocols and Applications (SANPA 2004), pp. 1–11 (2004)Google Scholar
  8. 8.
    Chand, S., Singh, S., Kumar, B.: Heterogeneous HEED protocol for wireless sensor networks. Wirel. Pers. Commun. 77(3), 2117–2139 (2014)CrossRefGoogle Scholar
  9. 9.
    Farouk, F., Rizk, R., Zaki, F.W.: Multi-level stable and energy-efficient clustering protocol in heterogeneous wireless sensor networks. IET Wirel. Sens. Syst. 4(4), 159–169 (2014)CrossRefGoogle Scholar
  10. 10.
    Kumar, D.: Performance analysis of energy efficient clustering protocols for maximising lifetime of wireless sensor networks. IET Wirel. Sensor Syst. 4(1), 9–16 (2014)Google Scholar
  11. 11.
    Qing, L., Zhu, Q., Wang, M.: Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor network. Comput. Commun. 29, 2230–2237 (2006)CrossRefGoogle Scholar
  12. 12.
    Elbhiri, B., Saadane, R., El Fkihi, S, Aboutajdine, D.: Developed distributed energy-efficient clustering (DDEEC) for heterogeneous wireless sensor networks. In: 5th International Symposium on I/V Communications and Mobile Network (ISVC) (2010)Google Scholar
  13. 13.
    Saini, P., Sharma, A.K.: E-DEEC- enhanced distributed energy efficient clustering scheme for heterogeneous WSN. In: 2010 1st International Conference on Parallel, Distributed and Grid Computing (PDGC - 2010) (2010)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Electronics and Communication Engineering, College of EngineeringOsmania UniversityHyderabadIndia

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