Research and Application of Clustering Optimization Algorithm Based on Fuzzy Logic in 5G Transmission Line Natural Disaster Monitoring

The performance of wireless sensor network will directly affect the reliability of 5G transmission line natural disaster monitoring. Firstly, this paper analyzes LEACH and EAUCF. In view of the fact that EAUCF algorithm does not consider the influence of node distribution on node clustering, this paper introduces the factor of upper bound ratio of cluster members on the basis of the original algorithm, and appropriately limits the number of cluster members of relay nodes through fuzzy logic. In order to balance the energy consumption of all nodes in the network, multi hop mode is adopted between cluster heads, and the data is transmitted to the base station through the relay node. The specific routing adopts the routing next hop selection method used by EEUC. Based on the above analysis, a non-uniform clustering routing protocol EAUCF-C based on fuzzy logic is proposed. Using MATLAB software platform, the proposed EAUCF-C routing algorithm is compared with leach and EAUCF algorithm. This paper analyzes the FD (first node dead), TD (one tenth node dead), HD (half node dead) rounds, network lifetime, and total network energy. Simulation results show that the proposed algorithm makes the energy consumption of network nodes more balanced and the network life cycle longer.