Optimal Data Routing Algorithm for Mine WSNs Based on Maximum Life Cycle

Abstract

Coal mine shafts are narrow, the environment is complex and changeable, the wired monitoring system has poor scalability, complicated wiring, and high costs and maintenance costs. The use of Wireless Sensor Networks (WSNs) can effectively solve the defects of the wired system and improve the monitoring level. Node energy is the most valuable resource for WSNs deployed in the complex environment of coal mines. Due to the limited energy of sensor nodes, how to balance the energy consumption, extend the network lifetime and pursue the maximum resource utilization are the hot issues in WSNs research. Underground coal mines have narrow and long lanes, and WSNs are distributed in strips. Therefore, based on the existing research, this paper proposes that when sensor nodes are evenly deployed in narrow and narrow lanes, the node's forwarded data volume and forwarded routing are dynamically adjusted to make nodes Energy consumption is balanced and network life cycle is maximized. The experimental simulation proves that the algorithm proposed in this paper is superior to other algorithms.

Keywords

• Energy consumption balance
• WSNs
• data forwarding
• best route