Research on intelligent cultivation system of intelligent village platform based on VI-MFO
In order to improve the smooth and efficiency of information transmission in intelligent cultivation system of smart vil-lage platform,an optimization method of information transmission network node deployment based on VI-MFO algorithm is proposed.Firstly,a multi-objective evaluation model for the optimal deployment of network nodes is established from the aspects of full connec-tivity and communication energy consumption.Then,an improved MFO algorithm is proposed for solving the model.On the one hand,global disturbance factor and mutually beneficial factor are introduced to solve the problem that the global search ability of the algorithm decreases and it is easy to fall into local optimal.On the other hand,the spatial distribution of network nodes is divided by using the three-dimensional Venot diagram,and the weight of nodes in the Venot diagram is introduced into the improved MFO algo-rithm.A guided search algorithm based on the three-dimensional Venot diagram is designed to solve the problem of random genera-tion and disorder in the search process of traditional intelligent algorithms.The results show that compared with the original MFO algo-rithm,SSA algorithm and BOA algorithm,the performance of the improved MFO algorithm is significantly improved,and the conver-gence results on the 5 test functions are the best,and the optimization accuracy and stability are superior.The simulation results based on the VI-MFO algorithm for the communication network node deployment of the intelligent cultivation system of the intelligent village platform show that compared with the improved MFO algorithm without 3D Venot diagram,the VI-MFO algorithm achieves full connectivity of the communication nodes,reduces the energy consumption cost and the solving time by 3.04s,which proves the effec-tiveness of the proposed improved method.