The network performance and the unmanned aerial vehicle(UAV)number are important objectives when UAVs are placed as communication relays to enhance the multi-agent information exchange.The problem is a non-determinist...The network performance and the unmanned aerial vehicle(UAV)number are important objectives when UAVs are placed as communication relays to enhance the multi-agent information exchange.The problem is a non-deterministic polynomial hard(NP-hard)multi-objective optimization problem,instead of generating a Pareto solution,this work focuses on considering both objectives at the same level so as to achieve a balanced solution between them.Based on the property that agents connected to the same UAV are a cluster,two clustering-based algorithms,M-K-means(MKM)and modified fast search and find density of peaks(MFSFDP)methods,are first proposed.Since the former algorithm requires too much computational time and the latter one requires too many relays,an algorithm for the balanced network performance and relay number(BPN)is proposed by discretizing the area to avoid missing the optimal relay positions and defining a new local density function to reflect the network performance metric.Simulation results demonstrate that the proposed algorithms are feasible and effective.Comparisons between these algorithms show that the BPN algorithm uses fewer relay UAVs than the MFSFDP and classic set-covering based algorithm,and its computational time is far less than the MKM algorithm.展开更多
针对偏远地区低速率、时延非敏感业务的入网问题,提出了一种基于移动捎带的广域物联网信息传输方法。利用移动载体为物联网设备提供无感接入支持,扩展了网络覆盖范围。在无基站信号覆盖区域,移动载体与传感器建立连接,获取传感器数据并...针对偏远地区低速率、时延非敏感业务的入网问题,提出了一种基于移动捎带的广域物联网信息传输方法。利用移动载体为物联网设备提供无感接入支持,扩展了网络覆盖范围。在无基站信号覆盖区域,移动载体与传感器建立连接,获取传感器数据并存储,具备5G接入条件时,将感知信息卸载实现信息入网。提出了一种基于代价函数的数据缓存策略,提高了信息捎带效率,分析了移动捎带方案的覆盖性能,并设计了一种基于远距离无线电(long range radio,LoRa)技术的硬件实现方案。仿真结果表明,基于移动捎带的广域物联网信息传输方法能够提高物联网信息捎带效率,并将5G网络的物联网覆盖范围扩大4.98倍,实地测试验证了所提方法的有效性,移动捎带节点可以实现半径4 km的通信覆盖。展开更多
基金the National Natural Science Foundation of China(61573285)。
文摘The network performance and the unmanned aerial vehicle(UAV)number are important objectives when UAVs are placed as communication relays to enhance the multi-agent information exchange.The problem is a non-deterministic polynomial hard(NP-hard)multi-objective optimization problem,instead of generating a Pareto solution,this work focuses on considering both objectives at the same level so as to achieve a balanced solution between them.Based on the property that agents connected to the same UAV are a cluster,two clustering-based algorithms,M-K-means(MKM)and modified fast search and find density of peaks(MFSFDP)methods,are first proposed.Since the former algorithm requires too much computational time and the latter one requires too many relays,an algorithm for the balanced network performance and relay number(BPN)is proposed by discretizing the area to avoid missing the optimal relay positions and defining a new local density function to reflect the network performance metric.Simulation results demonstrate that the proposed algorithms are feasible and effective.Comparisons between these algorithms show that the BPN algorithm uses fewer relay UAVs than the MFSFDP and classic set-covering based algorithm,and its computational time is far less than the MKM algorithm.
文摘针对偏远地区低速率、时延非敏感业务的入网问题,提出了一种基于移动捎带的广域物联网信息传输方法。利用移动载体为物联网设备提供无感接入支持,扩展了网络覆盖范围。在无基站信号覆盖区域,移动载体与传感器建立连接,获取传感器数据并存储,具备5G接入条件时,将感知信息卸载实现信息入网。提出了一种基于代价函数的数据缓存策略,提高了信息捎带效率,分析了移动捎带方案的覆盖性能,并设计了一种基于远距离无线电(long range radio,LoRa)技术的硬件实现方案。仿真结果表明,基于移动捎带的广域物联网信息传输方法能够提高物联网信息捎带效率,并将5G网络的物联网覆盖范围扩大4.98倍,实地测试验证了所提方法的有效性,移动捎带节点可以实现半径4 km的通信覆盖。
