Abstract: Aiming at the problem that the control of link load was affected by the search space of the Internet of Things, a small  search space could reduce the load balancing degree， we proposed a load balancing control method of the Internet of Things  link based on  improved genetic algorithm. Firstly, the frequency band transmission model of the Internet of Things link was constructed, and tap interval sampling was used to control the transmission of the Internet of Things link, the frequency band model of the Internet of Things link was established  to obtain the balanced scheduling function, and the frequency band was integrated to complete the load balancing configuration. Secondly, we added  fractional interval equalization to design the link, used the frequency band allocation principle to obtain the frequency band matching probability, adjusted the tap value of the equalizer, and set the inter symbol interference term constraint of the link. Thirdly, we gave the parameter code of genetic algorithm, arranged all requests  in one-dimensional order, and  transformed  linear scale on the fitness function to complete the improvement of genetic algorithm. Finally, we combined  gene evolution chromosomes to expand the search space of the Internet of Things, made the number of iterations less than the maximum coefficient, and realized the balancing control of link transmission load. The experimental results show that the proposed method can effectively  control the load balancing of the Internet of Things link, the link load balancing degree can reach 92%, and can reduce energy consumption.

Key words: improved genetic algorithm, Internet of Things link, load balancing control, frequency band allocation, fitness function