Skip to main content
SpringerLink
Log in

DEEC Protocol with ACO Based Cluster Head Selection in Wireless Sensor Network

  • Conference paper
  • First Online:
Computing Science, Communication and Security (COMS2 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1861))

  • 111 Accesses

Abstract

When it comes to wireless sensor networks, the routing protocols have a major bearing on the network’s power consumption, lifespan, and other metrics. Cost-based, chaining, and clustering models are just a few of the many that inform the creation of routing protocols. It can be challenging to keep track of all of the nodes in Wireless Sensor Networks because there are so many of them. The optimal strategy is to form a cluster out of several nodes. By grouping together, sensor nodes are able to conserve energy and reduce their overall impact on the network. Management and coordination of the cluster’s nodes are performed by the cluster head. In its current configuration, the DEEC functions well during transmissions and has been around for some time in the network. However, a probability strategy based on ACO is used in this research to determine which node within a cluster will serve as the cluster’s leader. It is the responsibility of the cluster head to collect data from each of the individual nodes and then transmit that data to the home station. The ACO-DEEC protocol chooses a leader for the cluster by putting a probability rule that is based on the parameters of the distance between the nodes and the quantity of power they have. As a consequence of this, this algorithm performs better than the conventional DEEC protocol in terms of energy efficiency, the number of packets reached at the base station, and the count of the nodes that fail entirely.

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 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
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

Similar content being viewed by others

References

  1. Jangra, R., Kait, R.: Principles and concepts of wireless sensor network and ant colony optimization: a review. Int. J. Adv. Res. Comput. Sci. 8(5), 1180–1191 (2017)

    Google Scholar 

  2. Elbhiri, B., Rachid, S., Elfkihi, S., Aboutajdine, D.: Developed Distributed Energy-Efficient Clustering (DDEEC) for heterogeneous wireless sensor networks. In: IEEE (2010)

    Google Scholar 

  3. Jangra, R., Kait, R.: Analysis and comparison among ant system; ant colony system and max-min ant system with different parameters setting. In: International Conference on “Computational Intelligence and Communication Technology, pp 1–4. IEEE, Ghaziabad (2017)

    Google Scholar 

  4. Jangra, R., Kait, R.: ACO parameters analysis of TSP problem. Int. J. Comput. Sci. Mob. Appl. 5(8), 24–29 (2017)

    Google Scholar 

  5. Elbhiri, B., Rachid, S., El fkihi, S., Aboutajdine, D.: Developed distributed energy-efficient clustering (DDEEC) for heterogeneous wireless sensor networks. In: IEEE, pp.1–4 (2010)

    Google Scholar 

  6. Saini, P., Sharma, A.K.: E-DEEC- enhanced distributed energy efficient clustering scheme for heterogeneous WSN. In: 1st International Conference on Parallel, Distributed and Grid Computing, pp 2015–210. IEEE, Solan (2010)

    Google Scholar 

  7. Alla, S.B., Ezzati, A., Mouhsen, A., Hssane, A.B., Hasnaoui, M.L.: Balanced and centralized distributed energy efficient clustering for heterogeneous wireless sensor networks. In: 3rd International Conference on Next Generation Networks and Services, pp 39–44. IEEE, Hammamet (2011)

    Google Scholar 

  8. Qureshi, T.N., Javaid, N., Malik, M., Qasimm, U., Khan, Z. A.: On performance evaluation of variants of DEEC in WSNs. In: Seventh International Conference on Broadband, Wireless Computing, Communication and Applications, 162–169. IEEE, Victoria (2012)

    Google Scholar 

  9. Divya, C., Krishnan, N., Krishnapriya, P.: Modified distributed energy-efficient cluster for heterogeneous wireless sensor networks. In: International Conference on Emerging Trends in Computing, Communication and Nanotechnology, pp. 611–615 IEEE, Tirunelveli (2013)

    Google Scholar 

  10. Bogouri, M., Chakkor, S., Hajraoui, A.: Improving threshold distributed energy efficient clustering algorithm for heterogeneous wireless sensor networks. In: Third IEEE International Colloquium in Information Science and Technology, pp 430-435. IEEE, Tetouan (2014)

    Google Scholar 

  11. Kaebeh Yaeghoobi, S.B., Soni, M.K., Tyagi, S.S.: performance analysis of energy efficient clustering protocols to maximize wireless sensor networks lifetime. In: International Conference on Soft Computing Techniques and Implementations, pp 170–176. IEEE, Faridabad (2015)

    Google Scholar 

  12. Vançin, S., Erdem, E.: Threshold balanced sampled DEEC model for heterogeneous wireless sensor networks. Wirel. Commun. Mob. Comput. 2018, 1–12 (2018)

    Article  Google Scholar 

  13. Akbar, M., Javaid, N., Imran, M., Rao, A.: Muhammad Shahzad Younis and Iftikhar Azim Niaz”, A multi-hop angular routing protocol for wireless sensor networks”. Int. J. Distrib. Sens. Netw. 12(9), 1–13 (2016)

    Article  Google Scholar 

  14. Jibreel, F.: Improved enhanced distributed energy efficient clustering (iE-DEEC) scheme for heterogeneous wireless sensor network. Int. J. Eng. Res. Adv. Technol, 5(1), 6–11 (2019). E-ISSN: 2454–6135, 2019

    Google Scholar 

  15. Kurumbanshi, S., Rathkanthiwar, S.: Increasing the lifespan of wireless adhoc network using probabilistic approaches: a survey. Int. J. Inf. Technol. 10, 537–542 (2018)

    Google Scholar 

  16. Baghla, S., Bansal, S.: An approach to energy efficient vertical handover technique for heterogeneous networks. Int. J. Inf. Technol. 10(3), 359–366 (2018). https://doi.org/10.1007/s41870-018-0115-2

    Article  Google Scholar 

  17. Ramisetty, S., Anand, D., Kavita, Verma, S., Jhanjhi, N.Z., Humayun, M.: Energy-efficient model for recovery from multiple cluster nodes failure using moth flame optimization in wireless sensor networks. In: Peng, SL., Hsieh, SY., Gopalakrishnan, S., Duraisamy, B. (eds.) Intelligent Computing and Innovation on Data Science. Lecture Notes in Networks and Systems, vol. 248, pp 491–499. Springer, Singapore(2021). https://doi.org/10.1007/978-981-16-3153-5_52

Download references

Author information

Authors and Affiliations

  1. University of Engineering and Management, Jaipur, Rajasthan, India

    Renu Jangra

  2. Kurukshetra University, Kurukshetra, Haryana, India

    Ramesh Kait

Authors
  1. Renu Jangra
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ramesh Kait
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Renu Jangra .

Editor information

Editors and Affiliations

  1. Ganpat University, Mehsana, India

    Nirbhay Chaubey

  2. Kerala University of Digital Sciences, Innovation and Technology, Trivandrum, India

    Sabu M. Thampi

  3. Taylor's University, Subang Jaya, Malaysia

    Noor Zaman Jhanjhi

  4. Ganpat University, Mehsana, India

    Satyen Parikh

  5. Ganpat University, Mehsana, India

    Kiran Amin

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Jangra, R., Kait, R. (2023). DEEC Protocol with ACO Based Cluster Head Selection in Wireless Sensor Network. In: Chaubey, N., Thampi, S.M., Jhanjhi, N.Z., Parikh, S., Amin, K. (eds) Computing Science, Communication and Security. COMS2 2023. Communications in Computer and Information Science, vol 1861. Springer, Cham. https://doi.org/10.1007/978-3-031-40564-8_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-40564-8_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-40563-1

  • Online ISBN: 978-3-031-40564-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation