Coverage assessment and target tracking in 3D domains

Area of Science:

• Computer Science
• Network Engineering
• Robotics

Background:

• Wireless Sensor Networks (WSNs) are increasingly used for surveillance and tracking.
• Existing coverage control methods primarily focus on 2D domains, neglecting 3D requirements.
• 3D coverage is crucial for applications like water monitoring, indoor surveillance, and projectile tracking.

Purpose of the Study:

• To propose efficient techniques for detecting and repairing coverage holes in 3D WSNs.
• To develop strategies for tracking hostile targets within a 3D monitored domain.
• To address the challenge of sensor coverage in three-dimensional spaces with varying sensor schemes and obstacles.

Main Methods:

• Utilizing Voronoi tessellation, Vietoris complex, and retract by deformation for coverage analysis.
• Implementing iterative transformations of the Vietoris complex for low-complexity coverage hole computation.
• Developing mobility strategies for sensor repositioning to repair coverage holes.
• Designing non-uniform WSN coverage for effective target detection and tracking, adapting to obstacles.

Main Results:

• Demonstrated low-complexity computation of coverage holes in 3D domains.
• Proposed effective mobility strategies for repairing coverage holes.
• Showcased adaptive algorithms for target tracking in the presence of obstacles.
• Validated the efficiency of the proposed models through simulation experiments.

Conclusions:

• The study presents a novel approach to coverage hole detection, repair, and target tracking in 3D WSNs.
• The proposed methods offer efficient solutions for 3D surveillance and monitoring applications.
• This work is the first to address coverage hole repair and target tracking in 3D spaces with diverse sensor coverage schemes and obstacles.