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Optimal Path Selection Algorithm for Energy and Lifetime Maximization in Mobile Ad Hoc Networks Using Deep Learning

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Micro-Electronics and Telecommunication Engineering (ICMETE 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 894))

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Abstract

The energy-efficient path selection algorithm proposed in this paper balances the conflicting goals of maximizing network lifetime and minimizing energy usage routing in mobile ad hoc networks (MANETs). The proposed strategy maximizes lifetime energy efficiency, MANET, and deep learning. Produce the data after building the network by carrying out assaults and validating paths. Then sketch a neural network with capabilities for prediction and performance evaluation. Then nodes in a network that are negative by definition must be followed by choosing the optimum route. Employed in the current study to increase the energy efficiency as well as the kind of data handling on the network with the metrics of stolen time, total time, total energy, and packet delivery rate, predict the energy and lifetime maximization utilizing deep neural networks for deep learning, management, and lifetime energy efficiency maximization. Five hundred packets of data from a neural network were used to get the maximum value. The total energy used is 7570, packets are delivered at 74.60, time taken is 371.81, and the minimum theft rate for 500 packets is 6.8.

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Authors and Affiliations

  1. Madan Mohan Malviya University of Technology, Gorakhpur, India

    Jyoti Srivastava, Jyoti Srivastava & Jay Prakash

Authors
  1. Jyoti Srivastava
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  2. Jay Prakash
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Corresponding author

Correspondence to Jyoti Srivastava .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Devendra Kumar Sharma

  2. National Taipei University of Business, Taoyuan, Taiwan

    Sheng-Lung Peng

  3. Department of Electronics and Communication Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Rohit Sharma

  4. Department of Embedded Systems Engineering, Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Srivastava, J., Prakash, J. (2024). Optimal Path Selection Algorithm for Energy and Lifetime Maximization in Mobile Ad Hoc Networks Using Deep Learning. In: Sharma, D.K., Peng, SL., Sharma, R., Jeon, G. (eds) Micro-Electronics and Telecommunication Engineering. ICMETE 2023. Lecture Notes in Networks and Systems, vol 894. Springer, Singapore. https://doi.org/10.1007/978-981-99-9562-2_51

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  • DOI: https://doi.org/10.1007/978-981-99-9562-2_51

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9561-5

  • Online ISBN: 978-981-99-9562-2

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