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Malicious anchor node extraction using geodesic search for survivable underwater wireless sensor network.

Prateek1, T Srinivasa Reddy2, Saurabh Chandra2

  • 1Wireless Sensor Networks Laboratory, Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, 800005, India. prateek.ec18@nitp.ac.in.

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This study introduces a new geodesic search algorithm (GSA) to improve underwater wireless sensor network (UWSN) localization accuracy. The GSA enhances survivability by identifying malicious anchor nodes and reducing positioning errors in mobile UWSN deployments.

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Area of Science:

  • Underwater Wireless Sensor Networks (UWSN)
  • Network Security
  • Geodesic Geometry

Background:

  • Localization in UWSNs is challenged by malfunctioning anchor nodes, rendering traditional geometric methods inadequate for network survivability.
  • Existing UWSN topology approaches struggle to maintain functionality when critical nodes fail or exhibit mobility.

Purpose of the Study:

  • To propose a novel symplectic geometry approach for identifying malicious anchor nodes in UWSNs.
  • To develop a geodesic search algorithm (GSA) for robust target localization despite anchor node malfunction and node mobility.

Main Methods:

  • A malicious anchor node model is presented, defining node movement within a 'ripple region'.
  • A geodesic search algorithm (GSA) is developed, leveraging phase-space constancy for resilient underwater acoustic sensor network topology.
  • The GSA decouples target localization from anchor node geometry, enhancing system survivability.

Main Results:

  • Simulation results demonstrate the effectiveness of the geodesic formalism in mitigating the impact of node movement and anchor node malfunction.
  • The proposed GSA achieved a 13.46% improvement in survivability related to node movement and a 9.26% reduction in the impact of anchor node malfunction.

Conclusions:

  • The geodesic technique offers significant utility for aquamarine sensor deployments, enhancing UWSN resilience.
  • This approach is beneficial for critical applications such as underwater resource exploration and defense planning.