Delay-Sensitive Multi-Sensor Routing Scheduling Method for Underground IoT in Mines.

Area of Science:

• Engineering
• Computer Science
• Mining Engineering

Background:

• Underground construction safety is critical for mining and tunneling operations.
• Internet of Things (IoT) sensors are vital for monitoring but face deployment challenges due to power and layout complexities.
• Real-time data transmission and response are significant hurdles in underground environments.

Purpose of the Study:

• To propose a delay-sensitive routing scheduling method for multi-sensor, multi-base-station IoT networks in underground mining.
• To address the NP-hard nature of real-time routing in complex, mixed network topologies.
• To enhance the efficiency and reliability of data transmission for underground safety.

Main Methods:

• Formulation of a mixed wireless and wired network topology reflecting irregular tunnel distributions.
• Development of routing scheduling algorithms based on greedy and heuristic strategies.
• Implementation of an experimental platform for performance evaluation.

Main Results:

• The proposed routing scheduling problem is proven to be NP-hard.
• Greedy and heuristic algorithms were designed to solve the routing problem.
• Experimental analysis demonstrated the performance of the developed algorithms.

Conclusions:

• The developed delay-sensitive routing scheduling method effectively addresses real-time data challenges in underground IoT deployments.
• The proposed algorithms offer a viable solution for optimizing data transmission in complex mining environments.
• This research contributes to improving the safety and operational efficiency of underground construction through advanced IoT networking.