Design of Multi-Sensor Data Fusion Plant Wall Monitoring System based on Chaotic Adaptive Mutated Particle Swarm Optimization Algorithm.

This paper designs a plant wall monitoring system based on wireless sensor network (WSN), and proposes a novel trust degree data fusion algorithm. The simulation results show that the average error of the fusion result of the proposed algorithm is 93.4%, 95.5% and 93.3% lower than that of arithmetic mean, trust degree data fusion and adaptive weighted mean fusion, respectively. At the same time, the proposed data fusion algorithm is applied to the plant wall monitoring system. The sensor data fusion results show that, compared with the original trust degree data fusion algorithm, the fusion results of the proposed algorithm are more stable and accurate under the condition of noise interference.