The Study of Cross-layer Optimization for Wireless Rechargeable Sensor Networks Implemented in Coal Mines

Area of Science:

• Engineering
• Computer Science
• Mining Safety

Background:

• Wireless sensor networks (WSNs) in coal mines enhance worker safety by monitoring underground conditions.
• Limited energy supply and potential node malfunction are critical challenges for WSNs in these environments.
• Wireless energy transfer offers a promising solution for replenishing sensor node energy.

Purpose of the Study:

• To address energy limitations in coal mine WSNs by investigating wireless rechargeable sensor networks.
• To optimize the placement of relay nodes and develop energy management strategies for improved network performance and longevity.
• To enhance the safety and efficiency of underground coal mining operations through advanced WSN technology.

Main Methods:

• Formulated a cross-layer optimization problem for wireless rechargeable sensor networks in coal mines.
• Utilized the Lagrange dual problem and Karush-Kuhn-Tucker (KKT) conditions to find optimal relay node placement minimizing energy consumption.
• Developed optimal recharging strategies for locomotives and WSNs by solving the cross-layer optimization problem.

Main Results:

• Identified the optimal placement for relay nodes to minimize overall energy consumption in the network.
• Derived optimal strategies for recharging both locomotives and wireless sensor nodes.
• Simulations demonstrated the cyclic nature and effectiveness of the proposed recharging strategies.

Conclusions:

• The proposed cross-layer optimization effectively addresses energy constraints in coal mine WSNs.
• Optimal relay node placement and recharging strategies enhance network reliability and operational efficiency.
• This research contributes to safer and more productive underground mining environments through advanced wireless sensing and energy solutions.