Multirobot Exploration While Building Power-Efficient Sensor Networks in Three Dimensions.

Area of Science:

• Robotics
• Network Engineering
• Sensor Networks

Background:

• Information (sensor) networks are crucial for monitoring 3-D environments, including challenging underwater settings.
• Current methods for deploying sensor networks in 3-D spaces often require global localization and can suffer from coverage gaps.

Purpose of the Study:

• To develop a 3-D networking strategy using multiple robots for deploying information nodes.
• To create a robust network without coverage holes, eliminating the need for global node or robot localization.
• To minimize power consumption by optimizing sensor coverage while ensuring complete global coverage.

Main Methods:

• Multiple robots deploy information nodes to construct a 3-D network.
• Each node adjusts its sensing coverage to the smallest possible size, ensuring no global coverage holes.
• Nodes determine optimal sensing coverage by accessing only the relative positions of their immediate neighbors.

Main Results:

• The proposed 3-D networking strategy successfully creates networks without coverage holes.
• The method does not require global localization of nodes or robots.
• Significant power savings are achieved by minimizing individual sensor coverage while preserving overall network coverage.
• Energy consumption for optimizing coverage is minimal due to accessing only local neighbor positions.

Conclusions:

• The developed strategy offers an effective and scalable solution for building 3-D sensor networks.
• This approach significantly reduces power consumption in sensor networks, extending operational life.
• The method is validated through MATLAB simulations, demonstrating its effectiveness in 3-D environments.