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Performance Analysis of Recovery Methods for Loss of Target in Wireless Sensor Network Following TDNN Prediction Algorithm

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Computing Science, Communication and Security (COMS2 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1861))

  • 109 Accesses

Abstract

The efficient target tracking framework can save the network lifetime by reducing a sensor node burden. Energy is very important aspect in tracking of target in WSN. Compared to other prediction methods, the efficiency of the TDNN is better. By considering target velocity and geometrical shapes, lost target recovery can be improved further in terms of energy efficiency. Performance of different methods based on circular and contour geometrical shapes and taking target velocity into consideration is evaluated and compared based on energy efficiency.

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Author information

Authors and Affiliations

  1. Gujarat Technological University, Gujarat, India

    Alpesh Sankaliya

  2. Sarvajanik College of Engineering and Technology, Surat, India

    Maulin Joshi

Authors
  1. Alpesh Sankaliya
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  2. Maulin Joshi
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Correspondence to Alpesh Sankaliya .

Editor information

Editors and Affiliations

  1. Ganpat University, Mehsana, India

    Nirbhay Chaubey

  2. Kerala University of Digital Sciences, Innovation and Technology, Trivandrum, India

    Sabu M. Thampi

  3. Taylor's University, Subang Jaya, Malaysia

    Noor Zaman Jhanjhi

  4. Ganpat University, Mehsana, India

    Satyen Parikh

  5. Ganpat University, Mehsana, India

    Kiran Amin

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Sankaliya, A., Joshi, M. (2023). Performance Analysis of Recovery Methods for Loss of Target in Wireless Sensor Network Following TDNN Prediction Algorithm. In: Chaubey, N., Thampi, S.M., Jhanjhi, N.Z., Parikh, S., Amin, K. (eds) Computing Science, Communication and Security. COMS2 2023. Communications in Computer and Information Science, vol 1861. Springer, Cham. https://doi.org/10.1007/978-3-031-40564-8_5

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  • DOI: https://doi.org/10.1007/978-3-031-40564-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-40563-1

  • Online ISBN: 978-3-031-40564-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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