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Wireless Sensor Network Routing Protocols Using Machine Learning

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Architectural Wireless Networks Solutions and Security Issues

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 196))

Abstract

Routing is a predominant challenge in the field of WSNs because of insufficient power supply in each node. And low-transmission bandwidth required less memory space and handling limit. These sensors distributed randomly in nature and the environment, and each sensor nodes gather data from that environment for further analysis and additional processing and transmits the information and data to the base station. We discussed the different machine learning algorithms to develop routing protocols for the WSNs. These technologies have allowed the sensor to learn the experience data to make appropriate routing decisions and respond to changing the environment. We covered a wide range of machine learning (ML)-based routing protocols, such as distributed regression (DR), self-organizing map (SOM), and reinforcement learning (RL). This chapter affords a complete evaluation of the literature on the topic. The review has structured in such a way that suggests how network characteristics and necessities gradually viewed over time.

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Author information

Authors and Affiliations

  1. Kalsekar Engineering College, New Panvel Mumbai and GITAM University, Vizag, India

    Chaya Shivalingagowda

  2. Dr. A. P. J. Abdul Kalam Technical University (AKTU), Lucknow, India

    Hifzan Ahmad

  3. GITAM University, Vizag, India

    P. V. Y. Jayasree

  4. Indian Institute of Technology (ISM), Dhanbad, India

    Dinesh Kumar Sah

Authors
  1. Chaya Shivalingagowda
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  2. Hifzan Ahmad
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  3. P. V. Y. Jayasree
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  4. Dinesh Kumar Sah
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Corresponding author

Correspondence to Chaya Shivalingagowda .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sarala Birla University, Birla Knowledge City, Ranchi, Jharkhand, India

    Santosh Kumar Das

  2. Department of Computer Science and Engineering, University Institute of Technology, Burdwan University, Burdwan, West Bengal, India

    Sourav Samanta

  3. Department of Computer Science and Engineering, JIS University, Kolkata, India

    Nilanjan Dey

  4. Yudiz Solutions Pvt. Ltd., Ahmedabad, Gujarat, India

    Bharat S. Patel

  5. Department of Information Technology, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

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Cite this chapter

Shivalingagowda, C., Ahmad, H., Jayasree, P.V.Y., Sah, D.K. (2021). Wireless Sensor Network Routing Protocols Using Machine Learning. In: Das, S.K., Samanta, S., Dey, N., Patel, B.S., Hassanien, A.E. (eds) Architectural Wireless Networks Solutions and Security Issues. Lecture Notes in Networks and Systems, vol 196. Springer, Singapore. https://doi.org/10.1007/978-981-16-0386-0_7

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  • DOI: https://doi.org/10.1007/978-981-16-0386-0_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0385-3

  • Online ISBN: 978-981-16-0386-0

  • eBook Packages: EngineeringEngineering (R0)

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