The Repair Strategy for Event Coverage Holes Based on Mobile Robots in Wireless Sensor and Robot Networks

Area of Science:

• Robotics
• Network Engineering
• Computer Science

Background:

• Wireless sensor and robot networks (WSRNs) require flexible surveillance capabilities for intricate scenarios.
• Event coverage holes emerge in WSRNs due to dynamic surveillance demands and missions.
• Traditional repair methods, like Voronoi diagrams, are insufficient for flexible tasks and severe multi-constraint environments.

Purpose of the Study:

• To propose an event coverage hole healing model adaptable to multi-constrained scenarios.
• To develop a joint event coverage hole repair algorithm (JECHR) utilizing mobile robots.
• To enhance the efficacy of WSRN repair for dynamic surveillance requirements.

Main Methods:

• A novel event coverage hole healing model for multi-constrained environments.
• A joint event coverage hole repair algorithm (JECHR) integrating global and local repair strategies.
• Deployment of mobile robots for adaptive network repair in WSRNs.

Main Results:

• The JECHR algorithm effectively heals event coverage holes caused by changing surveillance demands.
• The proposed method demonstrates optimal repair capabilities across diverse, severe multi-constrained circumstances.
• Simulation experiments validate the algorithm's performance in various intricate surveillance tasks.

Conclusions:

• The JECHR algorithm offers an effective solution for healing event coverage holes in WSRNs.
• Mobile robots provide a superior adaptation capacity for network repair in hazardous scenarios.
• The JECHR algorithm is well-suited for a wide range of complex surveillance applications.