Skip to main content
SpringerLink
Log in

Optimization of LEACH for Developing Effective Energy-Efficient Protocol in WSN

  • Conference paper
  • First Online:
International Conference on Innovative Computing and Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1059))

Abstract

In the present research paper, the author is trying to improve LEACH for increasing energy efficiency of protocol within wireless sensor network by optimizing Low Energy Adaptive Clustering Hierarchy (LEACH). Optimizing LEACH protocol has certain limitations like routing, aggregation, selection of cluster head (CH) and transmission of data to cluster head which tends to uneven distribution of Energy. Taking this problem into consideration, we are focusing to enhance energy efficiency protocol. We have proposed a solution to improve LEACH by implementing new scheme for selection of cluster head and changing the routing techniques.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ari AAA, Labraoui N, Yenké BO, Gueroui A (2018) Clustering algorithm for wireless sensor networks: the honeybee swarms nest-sites selection process-based approach. Int J Sens Netw 27(1)

    Article  Google Scholar 

  2. Nitesh K, Jana PK (2015) Grid based adaptive sleep for prolonging network lifetime in wireless sensor network. Procedia-Procedia Comput Sci 46:1140–1147

    Article  Google Scholar 

  3. Bozorgi SM, Bidgoli AM (2018) HEEC: a hybrid unequal energy efficient clustering for wireless sensor networks HEEC: a hybrid unequal energy efficient clustering for wireless sensor networks. Wirel Netw

    Google Scholar 

  4. Mottaghi S, Zahabi MR (2015) Optimizing LEACH clustering algorithm with mobile sink and rendezvous nodes. AEU-Int J Electron Commun 69(2):507–514

    Article  Google Scholar 

  5. Singh SK, Kumar P, Singh J (2017) A survey on successors of LEACH protocol. IEEE Access 5:4298–4328

    Article  Google Scholar 

  6. Arumugam GS, Ponnuchamy T (2015) EE-LEACH: development of energy-efficient LEACH Protocol for data gathering in WSN. EURASIP J Wirel Commun Netw 2015(1):76

    Article  Google Scholar 

  7. Kumar GS, Vinu MV, Jacob KP (2008) Mobility metric based LEACH-mobile protocol. In: Proceedings of the 16th international conference on advanced computing and communication. pp 248–253. https://doi.org/10.1109/ADCOM.2008.4760456

  8. Heinzelman WR, Chandrakasan A, Balakrishnan H (2000) Energy-efficient communication protocol for wireless microsensor networks. System sciences. In: Proceedings of the 33rd annual Hawaii international conference on IEEE

    Google Scholar 

  9. Xing G, Wang T, Xie Z, Jia W (2007) Rendezvous planning in mobility-assisted wireless sensor networks. In: Proceedings real-time systems symposium. pp 311–320

    Google Scholar 

  10. Liu Q, Zhang K, Liu X, Linge N (2016) Grid routing: an energy-efficient routing protocol for WSNs with single mobile sink. Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinf) 10040:232–243

    Google Scholar 

  11. Singh M, Kaur R (2019) LP-ACO technique for link stability in VANETs. In: International conference on innovative computing and communications, vol 55. Springer, Singapore, pp 111–121

    Google Scholar 

  12. Jain S, Agrawal S, Paruthi A, Trivedi A, Soni U (2019) Neural networks for mobile data usage prediction in Singapore. In: International conference on innovative computing and communications. Lecture notes in networks and systems, vol 56. Springer, Singapore, pp 349–357

    Google Scholar 

  13. Konstantopoulos C, Pantziou G, Gavalas D, Mpitziopoulos A, Mamalis B (2014) A rendezvous-based approach enabling energy-efficient sensory data collection with mobile sinks. IEEE Trans Parallel Distrib Syst 23(5):809–817

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Lovely Professional University, Phagwara, India

    Avinash Bhagat & G. Geetha

Authors
  1. Avinash Bhagat
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. G. Geetha
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Avinash Bhagat .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India

    Ashish Khanna

  2. Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India

    Deepak Gupta

  3. Department of Information Technology, RCC Institute of Information Technology, Kolkata, West Bengal, India

    Siddhartha Bhattacharyya

  4. Department of Computer Science, VÅ B - Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Vaclav Snasel

  5. Department of Computer Science, VÅ B - Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Jan Platos

  6. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bhagat, A., Geetha, G. (2020). Optimization of LEACH for Developing Effective Energy-Efficient Protocol in WSN. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_17

Download citation

Publish with us

Policies and ethics

Search

Navigation