Skip to content
2000
  1. Home
  2. A-Z Publications
  3. International Journal of Sensors Wireless Communications and Control
  4. Volume 14, Issue 4
  5. Article
Volume 14, Issue 4
  • ISSN: 2210-3279
  • E-ISSN: 2210-3287

Abstract

Introduction

In wireless sensor networks (WSNs), hierarchical clustered routing protocols play a crucial role in minimizing energy consumption. The Low Energy Adaptive Clustering Hierarchy (LEACH) architecture is commonly employed for application-specific protocols in WSNs. However, the LEACH protocol may lead to increased energy consumption within the network if the rotational distribution of cluster heads (CHs) is not considered.

Methods

A novel average energy, residual energy-based modified LEACH (aerem-LEACH) routing protocol for improving the WSN’s energy efficiency is proposed. This approach simultaneously considers the average energy of the networks and the residual node energy for routing, thereby reducing overall power consumption.

Results

The suggested approach in aerem-LEACH accounts for optimal CHs numbers, and nodes in close proximity to the sink are forbidden from participating in cluster formation in order to achieve sufficient performance in the form of reduced sensor node energy consumption. Furthermore, a new threshold is employed in the proposed approach for selecting CHs for the network, and the aerem-LEACH uses free space, multiple hopping, and a hybrid communicating model for an energy-efficient network.

Conclusion

The simulation result demonstrates that there is a substantial reduction in the consumption of energy in WSNs with the proposed aerem-LEACH routing protocol compared with existing routing protocols, namely Stable Energy Efficient Network (SEEN), Energy Efficient LEACH (EE LEACH), Optical LEACH (O-LEACH), LEACH-Mobile (LEACH-M), LEACH-Centralized (LEACH-C), and LEACH for small-scale as well as large-scale sensor field.

© 2024 Bentham Science Publishers
Loading

Article metrics loading...

/content/journals/swcc/10.2174/0122103279296700240430095450
2024-05-23
2024-11-22

  • From This Site

    /content/journals/swcc/10.2174/0122103279296700240430095450
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. JondhaleS.R. WakchaureM.A. AgarkarB.S. TambeS.B. Improved generalized regression neural network for target localization.Wirel. Pers. Commun.202212521677169310.1007/s11277‑022‑09627‑9
     [Google Scholar]
  2. JondhaleS.R. JondhaleA.S. DeshpandeP.S. LloretJ. Improved trilateration for indoor localization: Neural network and centroid-based approach.Int. J. Distrib. Sens. Netw.2021171110.1177/15501477211053997
     [Google Scholar]
  3. RamG.M. IlavarsanE. Review on energy-efficient routing protocols in WSN.Lecture Notes on Data Engineering and Communications Technologies20216685187110.1007/978‑981‑16‑0965‑7_66
     [Google Scholar]
  4. JonnalagaddaS. ShyamalaK. RojaG. Energy-efficient routing in WSN: A review.ECS Trans.202210711111112410.1149/10701.1111ecst
     [Google Scholar]
  5. ShafiqM. AshrafH. UllahA. TahiraS. Systematic literature review on energy efficient routing schemes in WSN – A survey.Mob. Netw. Appl.202025388289510.1007/s11036‑020‑01523‑5
     [Google Scholar]
  6. AlghamdiS.A. Cuckoo energy-efficient load-balancing on-demand multipath routing protocol.Arab. J. Sci. Eng.20224721321133510.1007/s13369‑021‑05841‑y
     [Google Scholar]
  7. RazaqueA. AbdulgaderM. JoshiC. AmsaadF. ChauhanM. PLEACH: Energy efficient routing protocol for wireless sensor networks.Applications and Technology Conference, LISAT 2016Farmingdale, NY, USA, 29 April20161510.1109/LISAT.2016.7494137
     [Google Scholar]
  8. HeinzelmanW.R. ChandrakasanA. BalakrishnanH. Energy-efficient communication protocol for wireless microsensor networks.Proceedings of the Annual Hawaii International Conference on System SciencesMaui, HI, USA07-07 January 20001010.1109/HICSS.2000.926982
     [Google Scholar]
  9. HeinzelmanW.B. ChandrakasanA.P. BalakrishnanH. An application-specific protocol architecture for wireless microsensor networks.IEEE Trans. Wirel. Commun.20021466067010.1109/TWC.2002.804190
     [Google Scholar]
  10. BharanyS. SharmaS. BadotraS. Energy-efficient clustering scheme for flying ad-hoc networks using an optimized leach protocol.Energies20211419601610.3390/en14196016
     [Google Scholar]
  11. DaanouneI. AbdennaceurB. BalloukA. A comprehensive survey on LEACH-based clustering routing protocols in wireless sensor networks.Ad Hoc Netw.202111410240910.1016/j.adhoc.2020.102409
     [Google Scholar]
  12. MorsyN.A. AbdelHayE.H. KishkS.S. Proposed energy efficient algorithm for clustering and routing in WSN.Wirel. Pers. Commun.201810332575259810.1007/s11277‑018‑5948‑2
     [Google Scholar]
  13. YaraliA. Wireless Sensor Networks (WSN).Technology and Applications202010.52305/FCQC6565
     [Google Scholar]
  14. MollaJ.P. DhabliyaD. JondhaleS.R. Energy efficient received signal strength-based target localization and tracking using support vector regression.Energies202316155510.3390/en16010555
     [Google Scholar]
  15. JondhaleS.R. SharmaM. MaheswarR. ShubairR. ShelkeA. Comparison of neural network training functions for RSSI based indoor localization problem in WSN.In: Advances in Intelligent Systems and Computing.Springer, Cham.202011321123310.1007/978‑3‑030‑40305‑8_7
     [Google Scholar]
  16. ShrivastavaP.K. VishwamitraL.K. Comparative analysis of proactive and reactive routing protocols in VANET environment.Measurement Sensors20211610005110.1016/j.measen.2021.100051
     [Google Scholar]
  17. KhudayerB.H. AlzabinL.R. AnbarM. A comparative performance evaluation of routing protocols for mobile ad-hoc networks.Int. J. Adv. Comput. Sci. Appl.202314410.14569/IJACSA.2023.0140449
     [Google Scholar]
  18. KalantarS. JafariM. HashemipourM. Energy and load balancing routing protocol for IoT.Int. J. Commun. Syst.2023362e537110.1002/dac.5371
     [Google Scholar]
  19. JadoonR. ZhouW. JadoonW. Ahmed KhanI. RARZ: Ring-zone based routing protocol for wireless sensor networks.Appl. Sci.201887102310.3390/app8071023
     [Google Scholar]
  20. TarhaniM. KavianY.S. SiavoshiS. SEECH: Scalable energy efficient clustering hierarchy protocol in wireless sensor networks.IEEE Sens. J.201414113944395410.1109/JSEN.2014.2358567
     [Google Scholar]
  21. TanwarS. TyagiS. KumarN. ObaidatM.S.L.A-M.H.R. Learning automata based multilevel heterogeneous routing for opportunistic shared spectrum access to enhance lifetime of WSN.IEEE Syst. J.201913131332310.1109/JSYST.2018.2818618
     [Google Scholar]
  22. OubbatiO.S. MozaffariM. ChaibN. LorenzP. AtiquzzamanM. JamalipourA. ECaD: Energy-efficient routing in flying ad hoc networks.Int. J. Commun. Syst.20193218e415610.1002/dac.4156
     [Google Scholar]
  23. BakerT. GreeAODV: An energy efficient routing protocol for vehicular ad hoc networks.In: Lecture Notes in Computer Science Springer, Cham2018109566708110.1007/978‑3‑319‑95957‑3_69
     [Google Scholar]
  24. KimDS ChungYJ Self-organization routing protocol supporting mobile nodes for wireless sensor network.First International Multi- Symposiums on Computer and Computational Sciences (IMSCCS' 06)Hangzhou, China, 20-24 June200662262610.1109/IMSCCS.2006.265
     [Google Scholar]
  25. YanL. PanW. LuoB. LiX. LiuJ. Modified energy-efficient protocol for wireless sensor networks in the presence of distributed optical fiber senor link.IEEE Sens. J.20111191815181910.1109/JSEN.2010.2104317
     [Google Scholar]
  26. MohemedR.E. SalehA.I. AbdelrazzakM. SamraA.S. Energy-efficient routing protocols for solving energy hole problem in wireless sensor networks.Comput. Netw.2017114516610.1016/j.comnet.2016.12.011
     [Google Scholar]
  27. KhanR.A. XinQ. RoshanN. RK-energy efficient routing protocol for wireless body area sensor networks.Wirel. Pers. Commun.2021116170972110.1007/s11277‑020‑07734‑z
     [Google Scholar]
  28. PriyadarshiR. SinghL. SinghA. ThakurA. SEEN: Stable energy efficient network for wireless sensor network. 20185th International Conference on Signal Processing and Integrated Networks (SPIN)Noida, India, 22-23 February201833834210.1109/SPIN.2018.8474228
     [Google Scholar]
  29. LiuY. WuQ. ZhaoT. TieY. BaiF. JinM. An improved energy-efficient routing protocol for wireless sensor networks.Sensors20191920457910.3390/s19204579 31640248
     [Google Scholar]
  30. KangJ. SohnI. LeeS.H. Enhanced message-passing based leach protocol for wireless sensor networks.Sensors 20181917510.3390/s19010075 30585245
     [Google Scholar]
  31. ObaidatM.S. MisraS. Principles of wireless sensor networks.Cambridge University Press201410.1017/CBO9781139030960
     [Google Scholar]
  32. RoyNR ChandraP A note on optimum cluster estimation in leach protocol.IEEE Access20186656906569610.1109/ACCESS.2018.2877704
     [Google Scholar]
  33. ChengH. ChenY. XiongN. LiF. Layer-based data aggregation and performance analysis in wireless sensor networks.J. Appl. Math.2013201311210.1155/2013/502381
     [Google Scholar]
  34. ZhengH. GuoW. XiongN. A kernel-based compressive sensing approach for mobile data gathering in wireless sensor network systems.IEEE Trans. Syst. Man Cybern. Syst.201848122315232710.1109/TSMC.2017.2734886
     [Google Scholar]
/content/journals/swcc/10.2174/0122103279296700240430095450
Loading
Novel Energy-efficient Modified LEACH Routing Protocol for Wireless Sensor Networks
Int J Sensors Wirel Commun Control 14, 329 (2024); https://doi.org/10.2174/0122103279296700240430095450
/content/journals/swcc/10.2174/0122103279296700240430095450
/content/journals/swcc/10.2174/0122103279296700240430095450
Loading

Data & Media loading...


  • Article Type:     Research Article
Keyword(s): average energy residual energy based modified LEACH (aerem-LEACH); Energy efficient LEACH (EE LEACH); energy efficient routing; LEACH-Centralized (LEACH-C); LEACH-Mobile (LEACH-M); Low-energy adaptive clustering hierarchy (LEACH); Optical LEACH (O-LEACH); Stable energy efficient network (SEEN); Wireless sensor network (WSN)

Most Cited Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test