设备接入受限的UAV空基应急物联网节点分簇部署研究

Node clustered deployment of emergency Internet of things based on UAV with equipment access restriction

针对公共安全应用场景中应急物联网缺少地面基站的情况,将无人机(UAV,unmanned aerial vehicle)作为空基基站,解决应急物联网地面终端设备接入受限条件下的节点分簇部署问题。提出了一种基于按需K-means分簇方法(ODKM,on-demand K-means)的空基基站分簇部署方法。首先,通过两次聚类,按照不同无人机空基基站的设备接入能力进行基站选择与设备分簇;其次,通过求解一个松弛的非凸非线性优化模型,实现基于能效优化的无人机空基基站部署。实验结果表明,所提方法可以满足无人机基站接入能力的约束,并在均衡各簇传输能耗方面有着较好的性能,实现了地面终端设备按需接入时的通信节能。

Lack of ground base station in emergency Internet of things for public security application scenarios,the unmanned aerial vehicle(UAV)as the air-based base station was adopted to solve the problem of node cluster deployment under the condition of limited access of emergency Internet of things ground terminal equipment.A clustering deployment method based on on-demand K-means(ODKM)was proposed.Firstly,base station selection and equipment clustering were carried out according to the equipment access ability of different UAV air-based base stations through two clustering steps.Secondly,by solving a relaxed non convex nonlinear optimization model,the UAV air-based base station deployment based on energy efficiency optimization was realized.The experimental results show that the proposed method can meet the constraints of UAV base station access ability,and has a good performance in balancing the transmission energy consumption of each cluster,and realizes the goal of communication energy saving when the ground terminal equipment needs to access.