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Compressive Sensing Node Localization Method Using Autonomous Underwater Vehicle Network

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Abstract

Autonomous underwater vehicle networks is a significant resource for aquatic life maintenance and monitoring underwater pollution. It is necessary to study the underwater localization algorithms which self-localize themselves. The proposed work concentrates only on the range-free localization model with a goal is to use only very few sensing nodes in the network with low cost and high battery power to self-localize themselves. Few beacon nodes have been used to localize the sensor nodes in the definite position of the network. Compressive sensing theory based on hop count information for localizing the sensor nodes has also been used for localization. This research aims to collect the connectivity information of all the nodes in the network with compressive sensing theory and improve the localization accuracy. The analysis presents that the proposed method works well with location accuracy. Compressive Sensing Node Localization reduces cost and enhances sensors' energy efficiency compared to other underwater localization algorithms.

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Authors and Affiliations

  1. Department of Computer Science, PSG College of Technology, Coimbatore, TN, India

    Madhumitha Kulandaivel & Arulanand Natarajan

  2. Department of CSE, Sona College of Technology, Salem, TN, India

    Sathiyamoorthi Velayutham

  3. Atal Incubation Centre, Banaras Hindu University, Varanasi, India

    Ashutosh Srivastava

  4. School of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Katra, India

    Sachin Kumar Gupta

  5. School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, TN, India

    P Suresh

  6. Computer Science Engineering Department, Shri Vishwakarma Skill University, Palwal, Haryana, India

    Nitin Goyal

Authors
  1. Madhumitha Kulandaivel
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  2. Arulanand Natarajan
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  3. Sathiyamoorthi Velayutham
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  4. Ashutosh Srivastava
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  5. Sachin Kumar Gupta
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  6. P Suresh
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  7. Nitin Goyal
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Contributions

Sachin Kumar Gupta and Nitin Goyal conceived the idea, designed the experiments and analysed the data; Madhumitha Kulandaive, Arulanand Natarajan performed the experiments and conducted the analysis; Sathiyamoorthi Velayutham and Ashutosh Srivastava analysed the methods, interpreted the results and drew the conclusions; Suresh P proofread the paper. All the authors agree with the above contribution details.

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Correspondence to Nitin Goyal.

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Kulandaivel, M., Natarajan, A., Velayutham, S. et al. Compressive Sensing Node Localization Method Using Autonomous Underwater Vehicle Network. Wireless Pers Commun 126, 2781–2799 (2022). https://doi.org/10.1007/s11277-022-09841-5

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  • DOI: https://doi.org/10.1007/s11277-022-09841-5

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