Skip to main content

Advertisement

Log in

EELRP: energy efficient layered routing protocol in wireless sensor networks

  • Regular Paper
  • Published:
Computing Aims and scope Submit manuscript

Abstract

Wireless sensor networks (WSNs) consist of sensor nodes, which can sense, process, and then transfer different types of data into the base station. The major role of sensor nodes is to gather data at regular intervals and then send it into the base station. Designing energy-efficient routing protocols is one of the major challenges in WSNs. In this paper, an energy efficient layered routing protocol (EELRP) is proposed. The proposed method divides the network into some concentric circles of different radii. The circles are divided into eight equal sectors. Sections are created through a crossover between layers and sectors. Each section contains some nodes, and the most appropriate one is selected as the agent. The nodes of each section send the sensed data to their agent. Next, the agent aggregates the data, provides error detection and correction according to the redundant residue number system, and then sends information to the agent of the lower section of the same sector. The procedure continues until the information reaches the base station. On comparing the performance of EELRP with that of conventional methods, one can see that EELRP provides an improvement in the network lifetime, energy consumption, packet delivery rate, and the number of path hops.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18

Similar content being viewed by others

References

  1. Naghibi M, Barati H (2020) EGRPM: energy efficient geographic routing protocol based on mobile sink in wireless sensor networks. Sustain Comput Inf Syst 25:100377

    Google Scholar 

  2. Saginbekov S, Jhumka A (2017) Many-to-many data aggregation scheduling in wireless sensor networks with two sinks. Comput Netw 123:184–199

    Article  Google Scholar 

  3. Boubiche S, Boubiche DE, Bilami A, Toral-Cruz H (2018) Big data challenges and data aggregation strategies in wireless sensor networks. IEEE Access 6:20558–20571

    Article  Google Scholar 

  4. Yousefpoor MS, Barati H (2019) Dynamic key management algorithms in wireless sensor networks: a survey. Comput Commun 134:52–69

    Article  Google Scholar 

  5. Huang J, Hong Y, Zhao Z, Yuan Y (2017) An energy-efficient multi-hop routing protocol based on grid clustering for wireless sensor networks. Clust Comput 20(4):3071–3083

    Article  Google Scholar 

  6. Mohemed RE, Saleh AI, Abdelrazzak M, Samra AS (2017) Energy-efficient routing protocols for solving energy hole problem in wireless sensor networks. Comput Netw 114:51–66

    Article  Google Scholar 

  7. Nakas C, Kandris D, Visvardis G (2020) Energy efficient routing in wireless sensor networks: a comprehensive survey. Algorithms 13(3):72

    Article  MathSciNet  Google Scholar 

  8. Shafiq M, Ashraf H, Ullah A, Tahira S (2020) Systematic literature review on energy efficient routing schemes in WSN—a survey. Mobile Netw Appli 25(3):1–14

  9. Dezfuli NN, Barati H (2018) Distributed energy efficient algorithm for ensuring coverage of wireless sensor networks. IET Commun 13(5):578–584

    Article  Google Scholar 

  10. Dezfouli NN, Barati H (2020) A distributed energy-efficient approach for hole repair in wireless sensor networks. Wirel Netw 26(3):1839–1855

    Article  Google Scholar 

  11. Verma A, Kumar S, Gautam PR, Rashid T, Kumar A (2020) Broadcast and reliable coverage based efficient recursive routing in large-scale WSNs. Telecommun Syst 75(1):1–16

  12. Nagaraju A (2020) Energy-efficient routing technique for wireless sensor networks using multiple mobile sink nodes. Parall Comput 102623

  13. Randhawa S, Jain S (2017) Data aggregation in wireless sensor networks: previous research, current status and future directions. Wirel Pers Commun 97(3):3355–3425

    Article  Google Scholar 

  14. Naghibi M, Barati H (2021) SHSDA: secure hybrid structure data aggregation method in wireless sensor networks. J Ambient Intell Human Comput 1–20

  15. Abidi W, Ezzedine T (2020) Effective clustering protocol based on network division for heterogeneous wireless sensor networks. Computing 102(2):413–425

    Article  MathSciNet  Google Scholar 

  16. Pushpalatha S, Shivaprakasha KS (2020) Energy-efficient communication using data aggregation and data compression techniques in wireless sensor networks: a survey. In: Advances in communication, signal processing, VLSI, and embedded systems. Springer, pp 161–179

  17. Ullah I, Youn HY (2020) Efficient data aggregation with node clustering and extreme learning machine for WSN. J Supercomput 76(12):1–27

  18. Sharma D, Ojha A, Bhondekar AP (2019) Heterogeneity consideration in wireless sensor networks routing algorithms: a review. J Supercomput 75(5):2341–2394

    Article  Google Scholar 

  19. BenSaleh MS, Saida R, Kacem YH, Abid M (2020) Wireless sensor network design methodologies: a survey. J Sens 1–13

  20. Chan L, Chavez KG, Rudolph H, Hourani A (2020) Hierarchical routing protocols for wireless sensor network: a compressive survey. Wirel Netw 26(5):1–24

  21. 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):1–9

    Article  Google Scholar 

  22. Mohanty P, Kabat MR (2016) Energy efficient structure-free data aggregation and delivery in WSN. Egypt Inform J 17(3):273–284

    Article  Google Scholar 

  23. Hatamian M, Barati H, Movaghar A, Naghizadeh A (2016) CGC: centralized genetic-based clustering protocol for wireless sensor networks using onion approach. Telecommun Syst 62(4):657–674

    Article  Google Scholar 

  24. Huang H, Zhang J, Zhang X, Yi B, Fan Q, Li F (2017) EMGR: energy-efficient multicast geographic routing in wireless sensor networks. Comput Netw 129:51–63

    Article  Google Scholar 

  25. Li Z, Liu Y, Ma M, Liu A, Zhang X, Luo G (2018) MSDG: a novel green data gathering scheme for wireless sensor networks. Comput Netw 142:223–239

    Article  Google Scholar 

  26. Muthukumaran K, Chitra K, Selvakumar C (2018) An energy efficient clustering scheme using multilevel routing for wireless sensor network. Comput Electr Eng 69:642–652

    Article  Google Scholar 

  27. Darabkh KA, El-Yabroudi MZ, El-Mousa AH (2019) BPA-CRP: a balanced power-aware clustering and routing protocol for wireless sensor networks. Ad Hoc Netw 82:155–171

    Article  Google Scholar 

  28. Wang Q, Lin D, Yang P, Zhang Z (2019) An energy-efficient compressive sensing-based clustering routing protocol for WSNs. IEEE Sens J 19(10):3950–3960

    Article  Google Scholar 

  29. Mosavifard A, Barati H (2020) An energy-aware clustering and two-level routing method in wireless sensor networks. Computing 102(7):1653–1671

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hamid Barati.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hajipour, Z., Barati, H. EELRP: energy efficient layered routing protocol in wireless sensor networks. Computing 103, 2789–2809 (2021). https://doi.org/10.1007/s00607-021-00996-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00607-021-00996-w

Keywords

Mathematics Subject Classification

Navigation