Cooperation among wirelessly connected static and mobile sensor nodes for surveillance applications

Area of Science:

• Computer Science
• Network Engineering
• Robotics

Background:

• Coordinating static ground sensors and mobile aerial sensors for large-area surveillance presents communication and resource allocation challenges.
• Existing networking strategies often incur high communication overhead, limiting scalability and efficiency.

Purpose of the Study:

• To develop a bio-inspired networking strategy that facilitates seamless cooperation between static and mobile sensors.
• To minimize communication overhead among sensor nodes during surveillance missions.
• To enable efficient allocation of mobile sensors for sensing tasks requested by static sensors.

Main Methods:

• A bio-inspired networking strategy was designed, focusing on low-overhead communication protocols.
• The strategy incorporates a mechanism for static sensors to request sensing activities from mobile sensors.
• Simulations were conducted to evaluate the performance of the proposed strategy.

Main Results:

• The proposed strategy demonstrated significant efficiency in maintaining low communication overhead.
• Effective coordination between static ground sensors and mobile aerial sensors was achieved.
• The system successfully allocated mobile sensors to fulfill sensing requests.

Conclusions:

• The bio-inspired networking strategy offers an efficient solution for sensor cooperation in surveillance.
• The approach effectively balances low communication overhead with robust coordination capabilities.
• This strategy provides a foundation for future advancements in distributed sensor network applications.