AutoBar: Automatic Barrier Coverage Formation for Danger Keep Out Applications in Smart City

Area of Science:

• Wireless Sensor Networks
• Smart City Applications
• Network Coverage

Background:

• Barrier coverage is crucial for intrusion detection in wireless sensor networks (WSNs) for smart cities.
• Existing methods focus on protecting areas from intruders, not warning them away from danger.
• Warning barrier coverage (WBC) is introduced for applications requiring sensors to surround dangerous, unknown regions.

Purpose of the Study:

• To propose AutoBar, a novel solution for mobile sensor nodes to automatically form a warning barrier coverage (WBC).
• To address the challenge of forming barriers in unknown regions with only local information.
• To establish a theoretical foundation for optimal sensor distribution in WBC.

Main Methods:

• Theoretical derivation of optimal sensor node distribution using convex theory.
• Design of a fully distributed algorithm for collaborative node movement towards the optimal pattern.
• Development of a mobile node prototype with boundary and visitor detection sensors.
• Extensive real trace-driven simulations in smart city scenarios.

Main Results:

• AutoBar successfully enables mobile sensor nodes to automatically form warning barrier coverage.
• The system demonstrates resilience, capable of reorganizing the barrier even with node failures.
• Simulations confirm AutoBar's superior performance compared to existing barrier coverage strategies.
• Key performance metrics include coverage quality, formation duration, and communication overhead.

Conclusions:

• AutoBar is the first system to address the alarm barrier coverage problem in unknown regions.
• The proposed distributed algorithm effectively guides mobile nodes to form an optimal WBC.
• AutoBar offers a feasible and efficient solution for smart city applications requiring warning barriers.