摘要
目前基于无人机的物联网信息与能量同传优化研究大都只考虑了单无人机且部署固定高度的情形,针对这一局限性,设计一个多无人机辅助的信息与能量同传系统,并提出一个联合优化设备关联关系、无人机位置、无人机发射功率和设备功率分割比的多变量固定交替迭代优化算法,以实现设备最小采集能量最大化。在每次迭代中,首先根据信号强度确定关联关系,并利用基于禁忌搜索的无人机位置优化算法,确定无人机位置;其次利用一阶泰勒展开式将非凸问题近似为凸问题,求解无人机发射功率和设备功率分割比。仿真实验表明,相比于多个基准对比方案,所提算法和策略能够获得更优的最小采集能量。
At present,most studies of simultaneous wireless information and power transfer(SWIPT)optimization for IoT system based on aerial vehicle unmanned aerial vehicle(UAVs)mainly focused on single-UAV-enabled IoT systems in which the UAV is deployed at a fixed altitude.In order to overcome this limitation,in this paper a multiple-UAVs-assisted SWIPT system is designed and a multivariable alternative iterative optimization algorithm is also proposed by jointly optimizing the device association,the locations of UAVs and the power allocation of UAVs as well as the power splitting ratios of devices,so as to maximize the minimum energy harvested by all devices.In each iteration,the device association is first determined according to the received signal strength,and the optimal loca⁃tions of UAVs are determined by the proposed algorithm based on Taboo search,then the UAVs’optimal transmission power and the power splitting ratios of devices are determined by transforming the non-convex problem into a convex approximate according to first or⁃der Taylor expansion.Simulation results show that the proposed algorithm can achieve a higher minimal harvested energy compared with other benchmark schemes.
作者
凌莉
李晓晓
赵宁
LING Li;LI Xiao-xiao;ZHAO Ning(School of Information Engineering,Wuhan Institute of Technology,Wuhan 431400,China;Beijing 58 Information Technology Co.,Ltd,Beijing 100015,China;School of Computer Science,Wuhan University of Technology,Wuhan 430070,China)
出处
《软件导刊》
2021年第1期89-96,共8页
Software Guide
基金
国家重点研发计划项目(2018YFC0704303)。
关键词
无人机
物联网
无线信息与能量同传
传输优化
交替迭代
unmanned aerial vehicle
Internet of Things
simultaneous wireless information and power transfer
transmission optimi⁃zation
alternative iteration
