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This study introduces a new algorithm to improve sensor network coverage and reduce blind spots. The Coverage Control Algorithm for Moving Target Nodes Based on Sensing Probability Model (CMTN-SP) also conserves node energy.

Keywords:
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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Sensor networks face coverage blind areas and data redundancy due to non-consecutive target node coverage.
  • These issues lead to communication link bottlenecks and rapid energy depletion in sensor nodes.

Purpose of the Study:

  • To propose a novel algorithm, CMTN-SP, for enhancing coverage quality in sensor networks with moving targets.
  • To address issues of coverage blind areas, data redundancy, and energy exhaustion in sensor networks.

Main Methods:

  • Derived a calculation method for expected coverage quality using probability theory for multiple joint nodes.
  • Implemented a dynamic node transferring mechanism for re-optimizing node deployment.
  • Utilized a sensing probability model for coverage control.

Main Results:

  • The proposed CMTN-SP algorithm effectively reduces coverage blind areas.
  • Network coverage rate and quality are significantly improved.
  • The algorithm mitigates rapid energy exhaustion in sensor nodes.

Conclusions:

  • CMTN-SP enhances sensor network coverage quality and efficiency.
  • The algorithm successfully balances coverage needs with energy conservation.
  • This approach offers a robust solution for managing moving targets in sensor networks.