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SSA Drones and Radio Repeater Drones

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DOI: 10.23977/jeis.2021.61003 | Downloads: 68 | Views: 1465


Longjie Zhao 1


1 International College of Xiamen University, Xiamen, Fujian 361102

Corresponding Author

Longjie Zhao


After analyzing the background and requirements of fighting wildfires, we decide to set two models, linear programming model and grey prediction model.We start the analysis strictly from the actual situation. Since the number of drones depends on the distance between the EOC and the fire points, we creatively transform the problem of the optimal number of drones into the evaluation problem of EOC site selection. We use the sum of the distances between the EOC and various ignition points as the objective function to establish a linear programming model. Then we summarized the fire situation into three typical periods according to the actual situation, comprehensively considering the characteristics of fire incidents, the number and location of EOC, to balance ability, safety and economy. Through the immune optimization algorithm (Immune Algorithm), the problem of best address is solved, and then the number of drones required is calculated, and the best solution for the Victoria fire incident is analyzed. We not only give the number of SSAs and UAVs carrying repeaters required in various situations, but also give an accurate and optimal distribution of UAV positions through a large number of computer simulations. This shows our determination and efforts to balance economy and safety.


Drone, Immune Algorithm, Grey Prediction, Linear Programming


Longjie Zhao, SSA Drones and Radio Repeater Drones. Journal of Electronics and Information Science (2021) 6: 21-26. DOI:


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