Research on the Algorithm of Multi Sensor Data Fusion Based on Simulated Annealing Algorithm and Genetic Algorithm

Abstract

We can know from the analysis of the data fusion model of wireless sensor network that data redundancy exists in the data transmission process because of the limitation of computing capability and communication capability of sensor nodes deployed in a cross and repeated manner. Therefore, we need to conduct research on data fusion technology to reduce or remove redundant and invalid data to save communication energy consumption and improve efficiency. This paper conducts research on a type of WSN data fusion algorithm of simulated annealing algorithm on the basis of the merits of global search of genetic algorithm and local search of simulated annealing algorithm. This algorithm can quickly locate the optimal sensor node sequence of mobile agent routing and achieve data fusion with good efficiency. Finally, this paper conduct simulation analysis and verification and the results indicate the validity of this algorithm.