A Trajectory-Based Coverage Assessment Approach for Universal Sensor Networks.

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Assessing sensor network coverage performance is a significant challenge.
• Traditional methods like the Voronoi algorithm have limitations in complex network scenarios.

Purpose of the Study:

• To propose a novel evaluation method for sensor network coverage performance.
• To develop a method applicable to both heterogeneous and homogeneous sensor networks.
• To improve upon existing coverage assessment techniques.

Main Methods:

• Introduced Improved Coverage Force Division (ICFD) for qualitative assessment.
• Developed Trajectory-based Evaluating Schedule (TES) for quantitative assessment using Balance Values (BVs).
• Integrated a weak-point ranking model for deployment guidance.

Main Results:

• TES achieves approximate results for heterogeneous networks with lower complexity compared to traditional algorithms.
• TES demonstrates superiority over the Voronoi algorithm in homogeneous networks, particularly in overcoming the four-point circle block.
• The proposed method provides a scalable approach to coverage performance assessment.

Conclusions:

• The Trajectory-based Evaluating Schedule (TES) offers an effective and efficient solution for sensor network coverage assessment.
• The method is versatile, applicable to diverse sensor network configurations.
• The integrated weak-point analysis aids in optimizing future sensor deployments.