IAGA模型支持下的灾区基站组网优化

根据矿井、失火办公大楼等灾区自然环境特征，结合基站信号多重覆盖的特点，提出了一种改进自适应遗传算法（IAGA），对基站组网部署进行优化。首先介绍灾害环境下的时间到达差算法（TDOA），用精度因子（DOP）刻画精度指标，提出了基站组网部署原则，以定位综合性能作为目标函数求解基站坐标。仿真试验表明，IAGA模型能够较好地应用于应急组网优化的部署，该算法基本能够达到最优解或次优解。

Optimization of Disaster Base Station Network Based on IAGA Model

According to the natural environment characteristics of the mine, office buildings and other disaster areas, combined with the characteristics of multiple signal coverage, an improved adaptive genetic algorithm is proposed to optimize the deployment of base station network.Firstly, the time difference of arrival algorithm in disaster environment is introduced, using DOP to evaluate the positioning accuracy and put forward the principle of network deployment.The base station coordinates are solved by using the integrated performance as the objective function.The simulation results show that the IAGA model can be applied to the optimization of emergency network, and the algorithm can achieve the optimal or suboptimal solution.