摘要
在数据收集中,考虑到地面物联网(Internet of Things,IoT)设备能量受限的问题,可以通过优化无人机的位置以降低系统的能量消耗.但是,这些研究通常在无人机数量预先给定的情况下进行.而在经济成本受限的情况下,需要尽可能减少无人机的数量.因此,首先通过启发式算法确定了在地面设备支持Type-Ⅱ HARQ(Type-Ⅱ Hybrid Repeat Request)协议的情况下所需的最小无人机数量,然后在确定了无人机部署的前提下,通过改进的丁克巴赫算法最大化系统的通信能量效率.仿真结果表明:在考虑设备重传的情况下,系统所需的无人机数量显著减少;通过优化地面设备的发送功率,系统的通信能量效率得到进一步提升.考虑设备重传有利于无人机进行数据收集.
In terms of data collection,considering the energy limitation of Internet of Things(IoT) equipment on the ground,it is possible to reduce the energy consumption of the system by optimizing the location of UAVs.However,these studies are usually optimized when the number of UAVs is predetermined.In the case of limited economic costs,it is necessary to reduce the number of UAVs as much as possible.Therefore,this paper first determines the minimum number of UAVs required when the ground equipment supports the type-Ⅱ HARQ(type-Ⅱ hybrid repeat request) protocol through a heuristic algorithm,and then maximizes the energy efficiency of the system through an improved Dinkbach algorithm on the premise of determining the deployment of UAVs.Simulation results show that the number of UAVs required by the system is significantly reduced when the retransmission of equipment is considered;By optimizing the transmission power of ground equipment,the energy efficiency of the system is further improved.It is considered that the equipment retransmission is conducive to data collection by UAV.
作者
徐少毅
吕剑书
XU Shaoyi;LYU Jianshu(School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China)
出处
《北京交通大学学报》
CAS
CSCD
北大核心
2023年第2期58-66,共9页
JOURNAL OF BEIJING JIAOTONG UNIVERSITY
基金
国家自然科学基金(61931001)
北京市自然科学基金(19L2035)
东南大学移动通信国家重点实验室开放研究基金(2020D06)。