Optimization Algorithm for Multi AP MESH Wireless Network Coverage in Underground Pipe Gallery Environment

This paper proposes an optimization algorithm for the coverage range of multi AP MESH wireless networking to address the problems of small wireless communication coverage and poor quality in underground pipe gallery environments. Based on the specific structure and environmental characteristics of the underground pipe gallery, design a reasonable network topology structure, adopt multi AP MESH networking technology, and construct a comprehensive coverage network through precise layout of multiple wireless access points and intelligent interconnection. Innovatively introduce the Q-learning mechanism of the GEAR improvement algorithm, effectively avoid network congestion, achieve load balancing, and significantly expand the coverage range of wireless networking. The experimental results show that the optimization algorithm significantly improves the wireless coverage and communication quality of underground pipe galleries, providing solid technical support for operation and emergency response.