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Low Power Enhanced Leach Protocol to Extend WSN Lifespan

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ICCCE 2020

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 698))

Abstract

WSN (Wireless Sensor Network) is characterized as a wireless sensor nodal network where one of the most challenging issues is the routing technique. Some of the critical issues with Wireless Sensor Networks is that the network sensor nodes have insufficient battery power. The battery power plays an important role in improving node lifespan. In Wireless Sensor Network, energy usage is among the most essential considerations for routing between various routing techniques. The best-known protocols are hierarchical routing protocols to reduce energy consumption. For application-specific type an enhanced protocol architecture for a Wireless Sensor Networks (WSN), a Low-Energy Adaptive Clustering Hierarchy (LEACH) was introduced. The proposed En-Leach protocol (Enhanced Leach) is an enhanced energy-efficient routing protocol that saves a large portion of the power of communication within the network. In do so, the proposed network topology chooses CH (Cluster Head) nodes from the higher residual energy of the sensor nodes, Further and a lesser range from the BS (base station). It then properly manages the SN (sensor nodes) and generates clusters to maximize the lifespan of the WSN and reduce the average energy dissipation per each sensor node.

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References

  1. Li XF, Xu LZ, Wang HB, Song J, Yang SX (2010) Sensors 10:5425–5442

    Google Scholar 

  2. Ma T, Hempel M, Peng D, Sharif H (2013) A survey of energy-efficient compression and communication techniques for multimedia in resource constrained systems. IEEE Commun Surv Tutor 15:963–972

    Article  Google Scholar 

  3. Karimullah S, Vishnuvardhan D A review paper on optimization of placement and routing techniques at NC’e-TIMES # 1.0 IN2018, IJET ISSN: 2395-1303

    Google Scholar 

  4. Zhang D, Li G, Zheng K, Ming X, Pan Z (2014) An energy-balanced routing method based on forward-aware factor for wireless sensor networks. IEEE Trans Ind Inform 10:766–773

    Article  Google Scholar 

  5. Sohn I, Lee J, Lee SH (2016) Low-energy adaptive clustering hierarchy using affinity propagation for wireless sensor networks. IEEE Commun Lett 20:558–561

    Article  Google Scholar 

  6. Shafiuddin S, Riyazuddin YMd, Karimullah S, Riyazuddin K (2012) A ranging model based components for localization in sparse networks NC’e-TIDES -12. IJCAE 3(1):71–81 ISSN NO: 0988 – 0382E

    Google Scholar 

  7. Sobrinho JL (2017) Correctness of routing vector protocols as a property of network cycles. IEEE Trans Netw 25:150–163

    Article  Google Scholar 

  8. Hosen A, Cho G (2018) An energy centric cluster-based routing protocol for wireless sensor networks. Sensors 18:1520

    Article  Google Scholar 

  9. Sharma D, Bhondekar AP (2018) Traffic and energy aware routing for heterogeneous wireless sensor networks. IEEE Commun Lett 22:1608–1611

    Article  Google Scholar 

  10. Rudra Kumar M, Prasanna K, Suneel CV (2017) Frequent data partitioning using parallel mining item sets and MapReduce. Int J Sci Res Comput Sci Eng Inf Technol 2(4):641–644

    Google Scholar 

  11. Jeevitheswari B, Karimullah S, Vishnuvardhan D (2017) A low power DFT based CMOS receiver with dual use of power lines. IJSTR 6(22): 4470–4475. ISSN 2319-8885

    Google Scholar 

  12. Behera TM, Samal UC, Mohapatra SK (2018) Energy-efficient modified LEACH protocol for IoT application. IET Wirel Sens Syst 8:223–228

    Article  Google Scholar 

  13. Karimullah S, Rahim A, Ushasree BC (2014) Design and verification of online bist for different word sizes of memories. Ijastr 4(4), July–August 2014. ISSN 2249-9954

    Google Scholar 

  14. Heinzelman WB, Chandrakasan AP, Balakrishnan H (2002) An application-specific protocol architecture for wireless microsensor networks. IEEE Trans Wirel Commun 1:660–670

    Article  Google Scholar 

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Correspondence to Shaik Karimullah .

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Karimullah, S., Vishnuvardhan, D., Riyazuddin, K., Prathyusha, K., Sonia, K. (2021). Low Power Enhanced Leach Protocol to Extend WSN Lifespan. In: Kumar, A., Mozar, S. (eds) ICCCE 2020. Lecture Notes in Electrical Engineering, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-15-7961-5_51

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  • DOI: https://doi.org/10.1007/978-981-15-7961-5_51

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-7960-8

  • Online ISBN: 978-981-15-7961-5

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