典型文献
Energy-efficient data collection for UAV-assisted IoT:Joint trajectory and resource optimization
文献摘要：
Internet of Things(IoT)can be conveniently deployed while empowering various appli-cations,where the IoT nodes can form clusters to finish certain missions collectively.As energy-efficient operations are critical to prolong the lifetime of the energy-constrained IoT devices,the Unmanned Aerial Vehicle(UAV)can be dispatched to geographically approach the IoT clusters towards energy-efficient IoT transmissions.This paper intends to maximize the system energy effi-ciency by considering both the IoT transmission energy and UAV propulsion energy,where the UAV trajectory and IoT communication resources are jointly optimized.By applying large-system analysis and Dinkelbach method,the original fractional optimization is approximated and reformulated in the form of subtraction,and further a block coordinate descent framework is employed to update the UAV trajectory and IoT communication resources iteratively.Extensive simulation results are provided to corroborate the effectiveness of the proposed method.
文献关键词：
中图分类号：
作者姓名：
Xiao TANG;Wei WANG;Hongliang HE;Ruonan ZHANG
作者机构：
School of Electronics and Information,Northwestern Polytechinical University,Xi'an 710072,China;National Mobile Communications Research Laboratory,Southeast University,Nanjing 210096,China;College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;College of Information Science and Technology,College of Cyber Security,Jinan University,Guangzhou 510632,China
文献出处：
引用格式：
[1]Xiao TANG;Wei WANG;Hongliang HE;Ruonan ZHANG-.Energy-efficient data collection for UAV-assisted IoT:Joint trajectory and resource optimization)[J].中国航空学报（英文版）,2022(09):95-105
A类：
B类：
Energy,efficient,data,collection,UAV,assisted,IoT,Joint,trajectory,optimization,Internet,Things,can,be,conveniently,deployed,while,empowering,various,appli,cations,where,nodes,clusters,finish,certain,collectively,energy,operations,are,critical,prolong,lifetime,constrained,devices,Unmanned,Aerial,Vehicle,dispatched,geographically,approach,towards,transmissions,This,paper,intends,maximize,system,ciency,by,considering,both,propulsion,communication,resources,jointly,optimized,By,applying,large,analysis,Dinkelbach,method,original,fractional,approximated,reformulated,subtraction,further,block,coordinate,descent,framework,employed,update,iteratively,Extensive,simulation,results,provided,corroborate,effectiveness,proposed
AB值：
0.635982
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