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Area of Science:

  • Computer Science
  • Sensor Networks
  • Geographic Information Systems

Background:

  • Sensor registry systems (SRS) are crucial for managing sensor metadata.
  • Network coverage information-based SRS (NC-SRS) improved filtering but faced issues like service termination and reliance on pre-built road segments.

Purpose of the Study:

  • To propose a novel sensor registry system-based predictive information service (SRS-PIS) that overcomes NC-SRS limitations.
  • To enhance sensor information filtering using a grid-based approach for path prediction and network coverage analysis.

Main Methods:

  • Developed a grid-based real-time path prediction algorithm.
  • Created an algorithm for grouping network service-disabled areas.
  • Constructed and implemented a grid-based coverage map using experimental signal strength measurements.

Main Results:

  • SRS-PIS effectively filters sensors by integrating grid-based path prediction and network coverage checks.
  • The grid-based method demonstrated advantages over traditional segment-based approaches.
  • Experimental validation confirmed the feasibility of the grid-based coverage map.

Conclusions:

  • The proposed SRS-PIS offers a robust and adaptable solution for sensor information services.
  • Grid-based methodologies provide a more flexible and reliable alternative for network coverage analysis in sensor systems.
  • This research advances the field of sensor network management and data accessibility.