摘要
应急通信网络的覆盖程度受到网络生命周期的影响,对其优化具有较高难度。传统方法的通信路径重复率较高,导致通信覆盖率偏低。为此提出无人机辅助蜂窝网络下应急通信覆盖优化方法,精确计算传感器节点与目标像素点之间距离,利用像素点被传感器节点覆盖的概率,得到蜂窝网络应急通信网络节点的概率分布情况,结合应急通信节点集合的区域覆盖率,描述应急通信覆盖优化问题的描述。引入应急通信网络监测区域能量和能量均衡系数,结合蜂窝网络应急通信覆盖优化步骤,实现无人机辅助蜂窝网络下应急通信覆盖的优化。仿真结果表明,所提方法可以确定最优的通信传感器节点数量、感知半径和单次移动距离,提高应急通信网络的覆盖率。
The network declaration cycle affects the coverage of emergency communication networks, resulting in a high communication path repetition rate and low coverage of traditional methods. Therefore, an optimization method of emergency communication coverage in UAV assisted cellular network is designed. The distance between the sensor node and the target pixel was accurately calculated. The probability of sensor nodes covering pixels was applied to obtain the probability distribution of cellular emergency communication network nodes. Concurrently, the regional coverage of emergency communication nodes was also investigated to describe the optimization of emergency communication coverage. According to the energy and energy balance coefficient of the emergency communication network monitoring area and the optimization steps of the emergency communication coverage of the cellular network, consequently, the optimization of the emergency communication coverage under the UAV assisted cellular network was completed. The simulation results show that this method can obtain the optimal number of communication sensor nodes, sensing radius and single moving distance, and improve the coverage of emergency communication networks.
作者
马丁
封志宏
秦益文
MA Ding;FENG Zhi-hong;QIN Yi-wen(School of Electronics and Information Engineering,Lanzhou Jiaotong University,Lanzhou Jiaotong University,Lanzhou Gansu 730070,China)
出处
《计算机仿真》
北大核心
2022年第4期193-196,共4页
Computer Simulation
关键词
无人机辅助
蜂窝网络
应急通信
覆盖优化
概率分布
UAV assistance
Cellular network
Emergency communication
Coverage optimization
Probability distribution
