设备接入受限的UAV空基应急物联网节点分簇部署研究

王巍; 梁雅静; 彭力; 魏忠诚; 赵继军

doi:10.11959/j.issn.2096-3750.2021.00220

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设备接入受限的UAV空基应急物联网节点分簇部署研究

理论与技术 | 更新时间：2024-06-05

- 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
- 物联网学报 2021年5卷第3期页码：97-105
- 作者机构：
  
  1. 河北工程大学信息与电气工程学院，河北邯郸 056038
  2. 河北工程大学河北省安防信息感知与处理重点实验室，河北邯郸 056038
  3. 江南大学物联网工程学院，江苏无锡 214122
- 作者简介：
  
  [ "王巍（1983- ），男，博士，河北工程大学副教授、硕士生导师，主要研究方向为公共安全物联网、隐式人机交互等" ]
  [ "梁雅静（1995- ），女，河北工程大学硕士生，主要研究方向为无人机组网" ]
  [ "彭力（1967- ），男，博士，江南大学教授、博士生导师，主要研究方向为视觉物联网等" ]
  [ "魏忠诚（1987- ），男，博士，河北工程大学副教授、硕士生导师，主要研究方向为智慧城市、公共安全、物联网、人工智能等" ]
  [ "赵继军（1970- ），男，博士，河北工程大学教授、博士生导师，主要研究方向为宽带通信网、传感网与物联网等" ]
- 基金信息：
  
  国家重点研发计划;The National Key Research and Development Program of China(2018YFF0301004);国家自然科学基金资助项目;The National Natural Science Foundation of China(61802107);教育部-中国移动科研基金;Education Ministry and China Mobile Science Research Foundation(MCM20170204);河北省高等学校科学技术研究项目;Science and Technology Research Project of the Higher Education Institutions of Hebei Province(ZD2020171);江苏省博士后科研资助计划项目;Jiangsu Planned Projects for Postdoctoral Research Funds(1601085C)
- DOI：10.11959/j.issn.2096-3750.2021.00220
  中图分类号： TP393
- 纸质出版日期：2021-09-30，
  
  网络出版日期：2021-09，
- 稿件说明：
移动端阅览
王巍, 梁雅静, 彭力, 等. 设备接入受限的UAV空基应急物联网节点分簇部署研究[J]. 物联网学报, 2021,5(3):97-105.

WEI WANG, YAJING LIANG, LI PENG, et al. Node clustered deployment of emergency Internet of things based on UAV with equipment access restriction. [J]. Chinese journal on internet of things, 2021, 5(3): 97-105.
王巍, 梁雅静, 彭力, 等. 设备接入受限的UAV空基应急物联网节点分簇部署研究[J]. 物联网学报, 2021,5(3):97-105. DOI： 10.11959/j.issn.2096-3750.2021.00220.

WEI WANG, YAJING LIANG, LI PENG, et al. Node clustered deployment of emergency Internet of things based on UAV with equipment access restriction. [J]. Chinese journal on internet of things, 2021, 5(3): 97-105. DOI： 10.11959/j.issn.2096-3750.2021.00220.

摘要

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。

Abstract

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.

关键词

应急物联网空基通信无人机接入受限

Keywords

emergency Internet of thingsspace based communicationunmanned aerial vehicleaccess restriction

references

MOZAFFARI M, SAAD W, BENNIS M ,et al. Mobile Internet of things:can UAVs provide an energy-efficient mobile architecture?[C]// Proceedings of 2016 IEEE Global Communications Conference (GLOBECOM). Piscataway:IEEE Press, 2016: 1-6.

陈前斌, 李国军, 李国权 ,等. 应急指挥物联网系统架构与关键技术[J]. 物联网学报, 2018,2(3): 82-90.

CHEN Q B, LI G J, LI G Q ,et al. System architecture and key technologies of emergency command Internet of things[J]. Chinese Journal on Internet of Things, 2018,2(3): 82-90.

郑博, 张衡阳, 李勇 ,等. 空中骨干网覆盖策略[J]. 通信学报, 2018,39(11): 36-43.

ZHENG B, ZHANG H Y, LI Y ,et al. Coverage in airborne backbone network[J]. Journal on Communications, 2018,39(11): 36-43.

HAN Z, SWINDLEHURST A L, LIU K . Optimization of MANET connectivity via smart deployment/movement of unmanned air vehicles[J]. IEEE Transactions on Vehicular Technology, 2009,58(7): 3533-3546.

JIANG F, SWINDLEHURST A L . Optimization of UAV heading for the ground-to-air uplink[J]. IEEE Journal on Selected Areas in Communications, 2012,30(5): 993-1005.

DANIEL K, WIETFELD C . Using public network infrastructures for UAV remote sensing in civilian security operations[J]. Homeland Security Affairs, 2011,(S3): 1-7.

ROHDE S, WIETFELD C . Interference aware positioning of aerial relays for cell overload and outage compensation[C]// Proceedings of 2012 IEEE Vehicular Technology Conference (VTC). Piscataway:IEEE Press, 2012: 1-5.

TU C Y, HO C Y, HUANG C Y . Energy-efficient algorithms and evaluations for massive access management in cellular based machine to machine communications[C]// Proceedings of 2011 Vehicular Technology Conference (VTC). Piscataway:IEEE Press, 2011: 1-5.

PANG Y, ZHANG Y, GU Y ,et al. Efficient data collection for wireless rechargeable sensor clusters in harsh terrains using UAVs[C]// Proceedings of 2014 IEEE Global Communications Conference (GLOBECOM). Piscataway:IEEE Press, 2014: 234-239.

TUNA G, NEFZI B, CONTE G . Unmanned aerial vehicle-aided communications system for disaster recovery[J]. Journal of Network and Computer Applications, 2014,41: 27-36.

SHARMA V, SRINIVASAN K, CHAO H C ,et al. Intelligent deployment of UAVs in 5G heterogeneous communication environment for improved coverage[J]. Journal of Network and Computer Applications, 2017,85: 94-105.

MOZAFFARI M, SAAD W, BENNIS M ,et al. Unmanned aerial vehicle with underlaid device-to-device communications:performance and tradeoffs[J]. IEEE Transactions on Wireless Communications, 2016,15(6): 3949-3963.

MOZAFFARI M, SAAD W, BENNIS M ,et al. Optimal transport theory for power-efficient deployment of unmanned aerial vehicles[C]// Proceedings of 2016 IEEE International Conference on Communications (ICC). Piscataway:IEEE Press, 2016: 1-6.

王巍, 彭力, 赵继军 ,等. 移动物联网非完整约束中继的协同任务规划[J]. 电子学报, 2019,47(6): 1251-1259.

WANG W, PENG L, ZHAO J J ,et al. Cooperative task planning of ground relay with nonholonomic constraints in mobile Internet of things based on UAVs[J]. Acta Electronica Sinica, 2019,47(6): 1251-1259.

王巍, 彭力, 赵继军 ,等. 基于旋翼无人机近地面空间应急物联网节点动态协同部署[J]. 自动化学报, 2019.

WANG W, PENG L, ZHAO J J ,et al. Dynamic cooperative deployment of emergency Internet of things near ground space based on drone[J]. Acta Automatica Sinica, 2019.

ATHUKORALAGE D, GUVENC I, SAAD W ,et al. Regret based learning for UAV assisted LTE-U/WiFi public safety networks[C]// Proceedings of 2016 IEEE Global Communications Conference (GLOBECOM). Piscataway:IEEE Press, 2016: 1-7.

NAQVI S A R, HASSAN S A, PERVAIZ H ,et al. Drone-aided communication as a key enabler for 5G and resilient public safety networks[J]. IEEE Communications Magazine, 2018,56(1): 36-42.

冯兴杰, 黄亚楼 . 带约束条件的聚类算法研究[J]. 计算机工程与应用, 2005,41(7): 12-14,169.

FENG X J, HUANG Y L . Research on the algorithm of the constrained clustering[J]. Computer Engineering and Applications, 2005,41(7): 12-14,169.

赵泽雨 . 基于稀疏约束的二维聚类算法研究[D]. 西安:西安电子科技大学, 2019.

ZHAO Z Y . Two-dimensional clustering algorithms based on sparse constraints[D]. Xi’an:Xidian University, 2019.

邵旭颖 . 基于边缘距离约束的深度聚类方法研究[D]. 长沙:国防科技大学, 2018.

SHAO X Y . Research on distance margin-based deep discriminative clustering methods[D]. Changsha:National University of Defense Technology, 2018.

张嘉旭, 王骏, 张春香 ,等. 基于低秩约束的熵加权多视角模糊聚类算法[J]. 自动化学报, 2020: 1-12.

ZHANG J X, WANG J, ZHANG C X ,et al. Entropy-weighting multi-view fuzzy c-means with low rank constrain[J]. Acta Automatica Sinica, 2020: 1-12.

CHEN C, QIAN H, CHEN W H ,et al. Auto-weighted multi-view constrained spectral clustering[J]. Neurocomputing, 2019,366: 1-11.

AL-HOURANI A, KANDEEPAN S, JAMALIPOUR A . Modeling air-to-ground path loss for low altitude platforms in urban environments[C]// Proceedings of 2014 IEEE Global Communications Conference. Piscataway:IEEE Press, 2014: 2898-2904.

田朝薇, 宋海洲 . 求非凸二次约束二次规划全局解的凸规划方法[J]. 华侨大学学报(自然科学版), 2011,32(4): 458-462.

TIAN Z W, SONG H Z . A convex optimization method for global optimal solution of quadratic programming problem with non-convex quadratic constraints[J]. Journal of Huaqiao University (Natural Science), 2011,32(4): 458-462.

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