Abstract: In the traditional single channel wireless network, the interference caused by simultaneous transmitting of multiple nodes is result in the decrease of network throughput. In order to solve this problem, an improved adaptive Genetic Algorithm(GA) is proposed, which is used for channel allocation. Genetic operation of fixed parameters is adopted in the early stage of evolutionary process. Adaptive genetic operation is used in the late stage of evolutionary process. The new crossover mode is adopted. It divides the chromosome into two groups according to the fitness value, selects chromosome from each group randomly for crossover operation to make the fitness value of whole chromosome population approaches to the optimal solution, and uses the parent and child competition mechanism to generate offspring. Simulation results show that this algorithm can effectively avoid the shortcomings of standard GA which is easily premature and local convergence. It converges fast and achieves optimal easily, and can effectively reduce the conflict of network.
adaptive Genetic Algorithm(GA),
parent and child competition mechanism