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Sensor Node Design Optimization Methods for Enhanced Energy Efficiency in Wireless Sensor Networks

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Cryptology and Network Security with Machine Learning (ICCNSML 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 918))

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Abstract

In recent years, there has been a significant surge in interest in WSNs among researchers and the general public. WSNs are purposefully designed to cater to a broad spectrum of applications, ranging from compact healthcare surveillance systems to extensive environmental monitoring projects. The WSN ecosystem encompasses a multitude of sensor nodes/devices that interconnect billions of diverse objects via the Internet. These sensors nodes are predominantly low-energy devices engineered for intermittent or continuous transmission. Consequently, the significance of energy efficiency (EE) in WSNs cannot be overstated. Driven by this imperative, conserving energy in such systems to extend their lifetime has been the subject of significant research. The design and architecture of sensor nodes play a significant role in energy efficiency. In this paper, we will talk about various optimization techniques that can be used to improve their performance. These include selection and comparison of low-power components, Dynamic Voltage Scaling, energy harvesting, and optimizing the power supply. By focusing on node design considerations, this paper provides insights into of diverse sensor node design optimization techniques tailored to enhance energy efficiency within WSNs. Explored the trifold areas of energy consumption, hardware optimization strategies, and advancements in energy harvesting, elaborating their roles in advancing energy efficiency within WSNs.

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Authors and Affiliations

  1. MBM University, Jodhpur, Rajasthan, 342011, India

    Arpita Choudhary & N.C Barwar

Authors
  1. Arpita Choudhary
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  2. N.C Barwar
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Correspondence to Arpita Choudhary .

Editor information

Editors and Affiliations

  1. Department of Mathematics, Pranveer Singh Institute of Technology, Kanpur, India

    Atul Chaturvedi

  2. Department of Mathematics, Indian Institute of Technology Jammu, Jammu, India

    Sartaj Ul Hasan

  3. Applied Statistics Unit, Indian Statistical Institute, Kolkata, India

    Bimal Kumar Roy

  4. Department of Mathematics, Bar-Ilan University, Ramat-Gan, Israel

    Boaz Tsaban

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Choudhary, A., Barwar, N. (2024). Sensor Node Design Optimization Methods for Enhanced Energy Efficiency in Wireless Sensor Networks. In: Chaturvedi, A., Hasan, S.U., Roy, B.K., Tsaban, B. (eds) Cryptology and Network Security with Machine Learning. ICCNSML 2023. Lecture Notes in Networks and Systems, vol 918. Springer, Singapore. https://doi.org/10.1007/978-981-97-0641-9_15

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  • DOI: https://doi.org/10.1007/978-981-97-0641-9_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0640-2

  • Online ISBN: 978-981-97-0641-9

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