Skip to main content
SpringerLink
Log in

Realistic Cluster-Based Energy-Efficient and Fault-Tolerant (RCEEFT) Routing Protocol for Wireless Sensor Networks (WSNs)

  • Conference paper
  • First Online:
Advances in Information and Communication (FICC 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1129))

Included in the following conference series:

Abstract

Despite the numerous research advances in multichannel event reporting (ER) protocols in Wireless Sensor Networks (WSNs), the core issues such as effective energy consumption management, balanced network-wide energy depletion rates, fault-avoidance-based fault tolerance (FT) for network reliability and elimination of needless data redundancies in ER remain challenges that have not received adequate and holistic research considerations commensurable with the recent technological advancements and the skyrocketing demands and permeance of WSN’s applications in all fields of life. RCEEFT is an adaptive cluster-based data acquisition and multichannel routing protocol for WSNs which integrates unique measures to ensure peerless improvement in WSNs’ energy consumption, balanced network-wide energy depletion rates (improved sensor field coverage), fault-avoidance-motivated FT and elimination of needless data redundancies in ER (enhanced accuracy and precision in ER) to extend the WSNs’ lifespan. The experimental results obtained through simulations established RCEEFT as a more realistic protocol and also performs better than EESAA, DEEC, E-DECC, SEP, M-GEAR, D-DEEC, T-DEEC and LEACH in terms of energy efficiency and WSN lifetime, wider coverage sensitivity, balanced network-wide energy depletion rates, FT and elimination of needless data redundancies in ER.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
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. Yu, Q., Li, G., Hang, X., Fu, K.: An energy efficient mac protocol for wireless passive sensor networks. Future Internet 9(2), 1–12 (2017)

    Article  Google Scholar 

  2. Effah, E., Thiare, O.: Survey: faults, fault detection and fault tolerance techniques in wireless sensor networks. Int. J. Comput. Sci. Inf. Secur. (IJCSIS) 16(10), 1–14 (2018). ISSN 1947-5500

    Google Scholar 

  3. Darwish, I.M., Elqafas, S.M.: Enhanced algorithms for fault nodes recovery in wireless sensors network. Int. J. Sens. Networks Data Commun. 6(1), 1–9 (2016). https://doi.org/10.4172/2090-4886.1000150

    Article  Google Scholar 

  4. Titouna, C., Ari, A.A.A., Moumen, H.: FDRA: fault detection and recovery algorithm for wireless sensor networks. In: International Conference on Mobile Web and Intelligent Information Systems, pp. 72–85. Springer, Cham (2018)

    Google Scholar 

  5. Souissi, I., Ben Azzouna, N., Ben Said, L.: A multi-level study of information trust models in WSN-assisted IoT. Comput. Netw. 151, 1–12 (2019)

    Article  Google Scholar 

  6. Xu, G.C.R., O’Hare, L.: A smart and balanced energy-efficient multihop clustering algorithm (smart-BEEM) for MIMO IoT systems in future networks. Sensors 17, 1574 (2017)

    Article  Google Scholar 

  7. Shah, T., Javaid, N., Qureshi, T.: Energy efficient sleep awake aware (EESAA) intelligent sensor network routing protocol. In: International Multitopic Conference (INMIC), pp. 317–322 (2012). https://doi.org/10.1109/INMIC.2012.6511504

  8. Mehmood, A., Mauri, J.L., Noman, M., Song, H.: Improvement of the wireless sensor network lifetime using leach with vice-cluster head. Ad Hoc Sens. Wirel. Netw. 28, 1–17 (2015)

    Article  Google Scholar 

  9. Younis, O., Fahmy, S.: HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Trans. Mob. Comput. 3(4), 660–669 (2004)

    Article  Google Scholar 

  10. Lindsey, S., Raghavendra, C.S.: PEGASIS: power-efficient gathering in sensor information systems, vol. 3, p. 3 (2002). https://doi.org/10.1109/AERO.2002.1035242

  11. Smaragdakis, G., Matta, I., Bestavros, A.: SEP: a stable election protocol for clustered heterogeneous wireless sensor networks, pp. 1–11 (2004)

    Google Scholar 

  12. Qing, L., Zhu, Q., Wang, M.: Design of a distributed energy-efficient clustering (DEEC) algorithm for heterogeneous wireless sensor network. Comput. Commun. 29, 2230–2237 (2006)

    Article  Google Scholar 

  13. 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), pp. 1–4. IEEE (2010)

    Google Scholar 

  14. 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), pp. 205–210 (2010). https://doi.org/10.1109/PDGC.2010.5679898

  15. Pankaj, K., Barwar, C.: Performance and comparative analysis of distributed energy efficient clustering protocols in wireless sensor networks. Int. J. Adv. Electron. Comput. Sci. 3(7), 17–22 (2016). ISSN: 2393-2835

    Google Scholar 

  16. Nadeem, Q., Rasheed, M., Javaid, N., Khan, Z., Maqsood, Y., Din, A.: M-GEAR: gateway-based energy-aware multi-hop routing protocol for WSNs. In: Eighth International Conference on Broadband and Wireless Communication and Application, pp. 164–169, July 2013. https://doi.org/10.1109/BWCCA.2013.35

  17. Gurpreet, K., Sukhpreet, K.: Enhanced M-GEAR protocol for lifetime enhancement in wireless clustering system. Int. J. Comput. Appl. 147(14), 30–34 (2016)

    Google Scholar 

  18. Rajeev, K., Rajdeep, K.: Evaluating the performance of DEEC variants. Int. J. Comput. Appl. 97(7), 9–16 (2014)

    Google Scholar 

  19. Chouikhi, S., Elkorbi, I., Ghamri-Doudane, Y., Saidane, L.A.: A survey on fault tolerance in small- and large-scale wireless sensor networks. Comput. Commun. 69, 22–37 (2015)

    Article  Google Scholar 

  20. Titouna, C., Aliouat, M., Gueroui, M.: FDS: fault detection scheme for wireless sensor networks. Wirel. Pers. Commun. 86(2), 549–562 (2016)

    Article  Google Scholar 

  21. Kakamanshadi, G., Gupta, S., Singh, S.: A survey on fault tolerance techniques in wireless sensor networks. In: 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), Noida, pp. 168–173 (2015). https://doi.org/10.1109/ICGCIoT.2015.7380451

  22. Effah, E., Thiare, O.: Estimation of optimal number of clusters: a new approach to minimizing intra-cluster communication cost in WSNs. Int. J. Innovative Technol. Exploring Eng. 8(7S2), 521–524 (2019)

    Google Scholar 

  23. Shakya, R.K.: Spatial correlation-based efficient communication protocols for wireless sensor networks. Ph.D. thesis, Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India, pp. 1–137 (2014)

    Google Scholar 

  24. Pak, W.: Ultra-low-power media access control protocol based on clock drift characteristics in wireless sensor networks. Int. J. Distrib. Sens. Netw. 13(7), 1–5 (2017)

    Article  MathSciNet  Google Scholar 

  25. Kumar, A.: WiseMAC protocol for wireless sensor network-an energy-efficient protocol (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Gaston Berger University, Saint Louis, Senegal

    Emmanuel Effah & Ousmane Thiare

Authors
  1. Emmanuel Effah
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ousmane Thiare
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Emmanuel Effah .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Effah, E., Thiare, O. (2020). Realistic Cluster-Based Energy-Efficient and Fault-Tolerant (RCEEFT) Routing Protocol for Wireless Sensor Networks (WSNs). In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication. FICC 2020. Advances in Intelligent Systems and Computing, vol 1129. Springer, Cham. https://doi.org/10.1007/978-3-030-39445-5_25

Download citation

Publish with us

Policies and ethics

Search

Navigation