测绘通报 ›› 2017, Vol. 0 ›› Issue (8): 7-12.doi: 10.13474/j.cnki.11-2246.2017.0245

Previous Articles     Next Articles

Optimization of Disaster Base Station Network Based on IAGA Model

HE Qimin1,2, WANG Jian1,2, AO Jiamin3, YU Hang1,2, XU Bo1,2, YANG Haichao1,2   

  1. 1. NASG Key Laboratory of Land Environment and Disaster Monitoring, CUMT, Xuzhou 221116, China;
    2. School of Environment and Spatial Mapping, CUMT, Xuzhou 221116, China;
    3. Economic Management Branch, ECJTUIT, Nanchang 330100, China
  • Received:2016-12-19 Revised:2017-02-17 Online:2017-08-25 Published:2017-08-29

Abstract: 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.

Key words: improved adaptive genetic algorithm, optimization of base station network, time difference of arrival algorithm, DOP, positioning comprehensive performance

CLC Number: