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Underwater Networked Wireless Sensor Data Collection for Computational Intelligence Techniques: Issues, Challenges,

Osho Gupta1, Nitin Goyal1, Divya Anand2

  • 1Chitkara University Institute of Engineering and Technology, Chitkara UniversityPunjabIndia.

IEEE Access : Practical Innovations, Open Solutions
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PubMed
Summary
This summary is machine-generated.

This study classifies data collection methods in underwater wireless sensor networks (UWSNs) based on routing strategies. It addresses challenges like sensor mobility and packet loss for efficient underwater data acquisition.

Keywords:
Acoustic sensor networkcomputational intelligencecoronavirus (COVID-19)routingunderwater sensor network

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Area of Science:

  • Marine Technology
  • Sensor Networks
  • Computational Intelligence

Background:

  • Underwater wireless sensor networks (UWSNs) are crucial for monitoring aquatic life and resources.
  • Computational intelligence (CI) techniques enable data acquisition and task execution in underwater environments.
  • The Internet of Underwater Things (IoUT) relies on accurate and complete data collection.

Purpose of the Study:

  • To summarize and classify data collection concepts in UWSNs based on routing.
  • To analyze existing data routing approaches considering quality of service parameters.
  • To discuss challenges in underwater data collection and potential solutions, including water purification.

Main Methods:

  • Literature review and classification of UWSN data collection techniques by routing.
  • Analysis of routing approaches based on quality of service (QoS) metrics.
  • Discussion of environmental challenges affecting underwater data transmission.

Main Results:

  • A classification of data collection in UWSNs based on routing strategies is presented.
  • Existing routing approaches are analyzed for their effectiveness in UWSN environments.
  • Key challenges such as sensor mobility and packet loss are highlighted.

Conclusions:

  • Effective data collection in UWSNs requires robust routing strategies to overcome environmental hurdles.
  • Further research into optimized routing and water purification methods is needed for reliable underwater monitoring.
  • This work provides a foundational classification for advancing UWSN data management.