The rapid progress of the deployment of IoT services pushes the evolution of wireless communication techniques. Because the number of IoT devices is much more than that of the human-held devices for traditional servic...The rapid progress of the deployment of IoT services pushes the evolution of wireless communication techniques. Because the number of IoT devices is much more than that of the human-held devices for traditional services. It introduces the random access issue in radio networks. In order to support massive IoT devices to transmit data in NB-IoT, the release 14 of 3 GPP provides the preambles in non-anchor carrier for random access. However, if more non-anchor carriers are provided for random access, the resource of uplink shared channel will be compressed. The use of non-anchor carrier for random access preambles shall be carefully allocated for effective resource utilization. In this paper, we propose the adaptive non-anchor allocation algorithm by referring to the collision report flag (CRF) from the user equipment. The proposed CRF algorithm considers the congestion status of uplink to adjust the number of non-anchor carriers in flexible way for better random access experience of huge random access attempts condition. The simulation results show that the proposed algorithm achieves high success access ratio and effective non-anchor carrier utilization when comparing to that of the fixed allocation schemes. The proposed scheme can save 5 - 10 numbers of non-anchor carriers for the number of UEs varies from 15,000 to 37,500 when comparing to the fixed 15 non-anchor carriers scheme under the similar successful access ratio.展开更多
Medical procedures are inherently invasive and carry the risk of inducing pain to the mind and body.Recently,efforts have been made to alleviate the discomfort associated with invasive medical procedures through the u...Medical procedures are inherently invasive and carry the risk of inducing pain to the mind and body.Recently,efforts have been made to alleviate the discomfort associated with invasive medical procedures through the use of virtual reality(VR)technology.VR has been demonstrated to be an effective treatment for pain associated with medical procedures,as well as for chronic pain conditions for which no effective treatment has been established.The precise mechanism by which the diversion from reality facilitated by VR contributes to the diminution of pain and anxiety has yet to be elucidated.However,the provision of positive images through VR-based visual stimulation may enhance the functionality of brain networks.The salience network is diminished,while the default mode network is enhanced.Additionally,the medial prefrontal cortex may establish a stronger connection with the default mode network,which could result in a reduction of pain and anxiety.Further research into the potential of VR technology to alleviate pain could lead to a reduction in the number of individuals who overdose on painkillers and contribute to positive change in the medical field.展开更多
为了有效地实时监测肉鸡生产过程中的环境因子,提高肉鸡健康养殖水平,本文将传感器技术与窄带物联网(Narrow Band Internet of Things,NB-IoT)技术结合,设计并实现一种肉鸡养殖环境监测系统,使用无线传感器实时监测肉鸡养殖环境中的温...为了有效地实时监测肉鸡生产过程中的环境因子,提高肉鸡健康养殖水平,本文将传感器技术与窄带物联网(Narrow Band Internet of Things,NB-IoT)技术结合,设计并实现一种肉鸡养殖环境监测系统,使用无线传感器实时监测肉鸡养殖环境中的温度、湿度、光照、NH 3等环境因子,采用B/S(浏览器/服务器)模式,运用NB-IoT技术将信息传输至云端服务器。结果表明:通过该方法可实现环境数据查询、绘制环境变化曲线、远程向终端设备下发控制命令等功能。该系统具有低功耗、低成本的优势,操作简便、性能稳定,为养殖户的决策分析提供了有效信息和科学依据。展开更多
Complex network models are frequently employed for simulating and studyingdiverse real-world complex systems.Among these models,scale-free networks typically exhibit greater fragility to malicious attacks.Consequently...Complex network models are frequently employed for simulating and studyingdiverse real-world complex systems.Among these models,scale-free networks typically exhibit greater fragility to malicious attacks.Consequently,enhancing the robustness of scale-free networks has become a pressing issue.To address this problem,this paper proposes a Multi-Granularity Integration Algorithm(MGIA),which aims to improve the robustness of scale-free networks while keeping the initial degree of each node unchanged,ensuring network connectivity and avoiding the generation of multiple edges.The algorithm generates a multi-granularity structure from the initial network to be optimized,then uses different optimization strategies to optimize the networks at various granular layers in this structure,and finally realizes the information exchange between different granular layers,thereby further enhancing the optimization effect.We propose new network refresh,crossover,and mutation operators to ensure that the optimized network satisfies the given constraints.Meanwhile,we propose new network similarity and network dissimilarity evaluation metrics to improve the effectiveness of the optimization operators in the algorithm.In the experiments,the MGIA enhances the robustness of the scale-free network by 67.6%.This improvement is approximately 17.2%higher than the optimization effects achieved by eight currently existing complex network robustness optimization algorithms.展开更多
Satellite edge computing has garnered significant attention from researchers;however,processing a large volume of tasks within multi-node satellite networks still poses considerable challenges.The sharp increase in us...Satellite edge computing has garnered significant attention from researchers;however,processing a large volume of tasks within multi-node satellite networks still poses considerable challenges.The sharp increase in user demand for latency-sensitive tasks has inevitably led to offloading bottlenecks and insufficient computational capacity on individual satellite edge servers,making it necessary to implement effective task offloading scheduling to enhance user experience.In this paper,we propose a priority-based task scheduling strategy based on a Software-Defined Network(SDN)framework for satellite-terrestrial integrated networks,which clarifies the execution order of tasks based on their priority.Subsequently,we apply a Dueling-Double Deep Q-Network(DDQN)algorithm enhanced with prioritized experience replay to derive a computation offloading strategy,improving the experience replay mechanism within the Dueling-DDQN framework.Next,we utilize the Deep Deterministic Policy Gradient(DDPG)algorithm to determine the optimal resource allocation strategy to reduce the processing latency of sub-tasks.Simulation results demonstrate that the proposed d3-DDPG algorithm outperforms other approaches,effectively reducing task processing latency and thus improving user experience and system efficiency.展开更多
针对大规模分布式蓄电池管理在实时监控、数据融合及多厂商兼容等方面的挑战,引入基于窄带物联网(Narrow Band Internet of Things,NB-IoT)技术的解决方案。通过构建低功耗NB-IoT监控网络、边缘智能管控机制及标准化接入平台,实现对大...针对大规模分布式蓄电池管理在实时监控、数据融合及多厂商兼容等方面的挑战,引入基于窄带物联网(Narrow Band Internet of Things,NB-IoT)技术的解决方案。通过构建低功耗NB-IoT监控网络、边缘智能管控机制及标准化接入平台,实现对大规模异构蓄电池的高效接入、状态感知与统一管理。在数据中心和智能电网等场景的应用结果表明,NB-IoT方案显著提升了数据传输效率、监控响应速度以及故障预警能力,为分布式储能设施的智能化运维提供了有力支撑。展开更多
文章介绍了窄带物联网(narrow band internet of things, NB-IoT)技术,借助NB-IoT技术进行了城市照明智能单灯控制系统设计,包括系统总体框架、单灯控制器和集中控制器的组网设计,并分析了该系统的具体应用。研究表明,智能单灯控制系统...文章介绍了窄带物联网(narrow band internet of things, NB-IoT)技术,借助NB-IoT技术进行了城市照明智能单灯控制系统设计,包括系统总体框架、单灯控制器和集中控制器的组网设计,并分析了该系统的具体应用。研究表明,智能单灯控制系统提高了照明管理效率,降低了能耗和维护成本,有利于推动城市照明向节能、高效、智能化方向发展。展开更多
文摘The rapid progress of the deployment of IoT services pushes the evolution of wireless communication techniques. Because the number of IoT devices is much more than that of the human-held devices for traditional services. It introduces the random access issue in radio networks. In order to support massive IoT devices to transmit data in NB-IoT, the release 14 of 3 GPP provides the preambles in non-anchor carrier for random access. However, if more non-anchor carriers are provided for random access, the resource of uplink shared channel will be compressed. The use of non-anchor carrier for random access preambles shall be carefully allocated for effective resource utilization. In this paper, we propose the adaptive non-anchor allocation algorithm by referring to the collision report flag (CRF) from the user equipment. The proposed CRF algorithm considers the congestion status of uplink to adjust the number of non-anchor carriers in flexible way for better random access experience of huge random access attempts condition. The simulation results show that the proposed algorithm achieves high success access ratio and effective non-anchor carrier utilization when comparing to that of the fixed allocation schemes. The proposed scheme can save 5 - 10 numbers of non-anchor carriers for the number of UEs varies from 15,000 to 37,500 when comparing to the fixed 15 non-anchor carriers scheme under the similar successful access ratio.
文摘Medical procedures are inherently invasive and carry the risk of inducing pain to the mind and body.Recently,efforts have been made to alleviate the discomfort associated with invasive medical procedures through the use of virtual reality(VR)technology.VR has been demonstrated to be an effective treatment for pain associated with medical procedures,as well as for chronic pain conditions for which no effective treatment has been established.The precise mechanism by which the diversion from reality facilitated by VR contributes to the diminution of pain and anxiety has yet to be elucidated.However,the provision of positive images through VR-based visual stimulation may enhance the functionality of brain networks.The salience network is diminished,while the default mode network is enhanced.Additionally,the medial prefrontal cortex may establish a stronger connection with the default mode network,which could result in a reduction of pain and anxiety.Further research into the potential of VR technology to alleviate pain could lead to a reduction in the number of individuals who overdose on painkillers and contribute to positive change in the medical field.
文摘为了有效地实时监测肉鸡生产过程中的环境因子,提高肉鸡健康养殖水平,本文将传感器技术与窄带物联网(Narrow Band Internet of Things,NB-IoT)技术结合,设计并实现一种肉鸡养殖环境监测系统,使用无线传感器实时监测肉鸡养殖环境中的温度、湿度、光照、NH 3等环境因子,采用B/S(浏览器/服务器)模式,运用NB-IoT技术将信息传输至云端服务器。结果表明:通过该方法可实现环境数据查询、绘制环境变化曲线、远程向终端设备下发控制命令等功能。该系统具有低功耗、低成本的优势,操作简便、性能稳定,为养殖户的决策分析提供了有效信息和科学依据。
基金National Natural Science Foundation of China(11971211,12171388).
文摘Complex network models are frequently employed for simulating and studyingdiverse real-world complex systems.Among these models,scale-free networks typically exhibit greater fragility to malicious attacks.Consequently,enhancing the robustness of scale-free networks has become a pressing issue.To address this problem,this paper proposes a Multi-Granularity Integration Algorithm(MGIA),which aims to improve the robustness of scale-free networks while keeping the initial degree of each node unchanged,ensuring network connectivity and avoiding the generation of multiple edges.The algorithm generates a multi-granularity structure from the initial network to be optimized,then uses different optimization strategies to optimize the networks at various granular layers in this structure,and finally realizes the information exchange between different granular layers,thereby further enhancing the optimization effect.We propose new network refresh,crossover,and mutation operators to ensure that the optimized network satisfies the given constraints.Meanwhile,we propose new network similarity and network dissimilarity evaluation metrics to improve the effectiveness of the optimization operators in the algorithm.In the experiments,the MGIA enhances the robustness of the scale-free network by 67.6%.This improvement is approximately 17.2%higher than the optimization effects achieved by eight currently existing complex network robustness optimization algorithms.
文摘Satellite edge computing has garnered significant attention from researchers;however,processing a large volume of tasks within multi-node satellite networks still poses considerable challenges.The sharp increase in user demand for latency-sensitive tasks has inevitably led to offloading bottlenecks and insufficient computational capacity on individual satellite edge servers,making it necessary to implement effective task offloading scheduling to enhance user experience.In this paper,we propose a priority-based task scheduling strategy based on a Software-Defined Network(SDN)framework for satellite-terrestrial integrated networks,which clarifies the execution order of tasks based on their priority.Subsequently,we apply a Dueling-Double Deep Q-Network(DDQN)algorithm enhanced with prioritized experience replay to derive a computation offloading strategy,improving the experience replay mechanism within the Dueling-DDQN framework.Next,we utilize the Deep Deterministic Policy Gradient(DDPG)algorithm to determine the optimal resource allocation strategy to reduce the processing latency of sub-tasks.Simulation results demonstrate that the proposed d3-DDPG algorithm outperforms other approaches,effectively reducing task processing latency and thus improving user experience and system efficiency.
文摘针对大规模分布式蓄电池管理在实时监控、数据融合及多厂商兼容等方面的挑战,引入基于窄带物联网(Narrow Band Internet of Things,NB-IoT)技术的解决方案。通过构建低功耗NB-IoT监控网络、边缘智能管控机制及标准化接入平台,实现对大规模异构蓄电池的高效接入、状态感知与统一管理。在数据中心和智能电网等场景的应用结果表明,NB-IoT方案显著提升了数据传输效率、监控响应速度以及故障预警能力,为分布式储能设施的智能化运维提供了有力支撑。
文摘文章介绍了窄带物联网(narrow band internet of things, NB-IoT)技术,借助NB-IoT技术进行了城市照明智能单灯控制系统设计,包括系统总体框架、单灯控制器和集中控制器的组网设计,并分析了该系统的具体应用。研究表明,智能单灯控制系统提高了照明管理效率,降低了能耗和维护成本,有利于推动城市照明向节能、高效、智能化方向发展。
