The Internet of Vehicles(IoV)has been widely researched in recent years,and cloud computing has been one of the key technologies in the IoV.Although cloud computing provides high performance compute,storage and networ...The Internet of Vehicles(IoV)has been widely researched in recent years,and cloud computing has been one of the key technologies in the IoV.Although cloud computing provides high performance compute,storage and networking services,the IoV still suffers with high processing latency,less mobility support and location awareness.In this paper,we integrate fog computing and software defined networking(SDN) to address those problems.Fog computing extends computing and storing to the edge of the network,which could decrease latency remarkably in addition to enable mobility support and location awareness.Meanwhile,SDN provides flexible centralized control and global knowledge to the network.In order to apply the software defined cloud/fog networking(SDCFN) architecture in the IoV effectively,we propose a novel SDN-based modified constrained optimization particle swarm optimization(MPSO-CO) algorithm which uses the reverse of the flight of mutation particles and linear decrease inertia weight to enhance the performance of constrained optimization particle swarm optimization(PSO-CO).The simulation results indicate that the SDN-based MPSO-CO algorithm could effectively decrease the latency and improve the quality of service(QoS) in the SDCFN architecture.展开更多
Smart meters in the Power Internet of Things generate a large amount of power data.However,data privacy in the process of calculation,storage,and transmission is an urgent problem to be solved.Therefore,in this paper ...Smart meters in the Power Internet of Things generate a large amount of power data.However,data privacy in the process of calculation,storage,and transmission is an urgent problem to be solved.Therefore,in this paper we propose a power resource dispatching framework(PRDF)with a privacy protection function,which uses a certificateless aggregate signcryption scheme based on cloud-fog cooperation.Using pseudonyms and aggregating users’power data,PRDF not only protects users’privacy,but also reduces the computing cost and communication overhead under traditional cloud computing.In addition,if the control center finds that a user has submitted abnormal data,it can send a request to the user management center to track the real identity of the user.Our scheme satisfies security requirements based on the random oracle model,including confidentiality and unforgeability.Furthermore,we compare our scheme with other certificateless aggregate signcryption schemes by simulations.Simulation results show that compared with traditional methods,our method performs better in terms of the computation cost.展开更多
工业物联网(Industrial Internet of Things,IIoT)是实施智能制造的重要载体,近年来引起了学术界和业界的极大兴趣。目前,在IIoT环境中主要采用云存储来存储数据,但是,云存储的过度延迟无法满足IIoT业务的时延要求,尤其是某些时延敏感...工业物联网(Industrial Internet of Things,IIoT)是实施智能制造的重要载体,近年来引起了学术界和业界的极大兴趣。目前,在IIoT环境中主要采用云存储来存储数据,但是,云存储的过度延迟无法满足IIoT业务的时延要求,尤其是某些时延敏感型的业务。针对云存储应用于IIoT大数据场景存在数据传输时延较高的问题,文章研究了一种新型的"云/雾混合"网络架构,该架构利用雾计算层设备构建分布式雾存储体系结构,通过将IIoT中的数据分布式存储至多个雾节点,达到降低数据传输时延的目的。由于雾设备的可靠性低,数据容易丢失,进一步提出了分布式冗余存储分配方案,以提高存储系统的安全性。由于提出的问题是所有非确定性多项式(Non-deterministic Polynomial,NP)问题,是能在多项式时间复杂度内归约到的问题,因此提出一种启发式优化算法,用于在安全约束下最小化数据传输时延。性能评估结果验证了所提方案能够降低数据传输时延,同时保证雾存储系统的安全性。展开更多
基金supported in part by National Natural Science Foundation of China (No.61401331,No.61401328)111 Project in Xidian University of China(B08038)+2 种基金Hong Kong,Macao and Taiwan Science and Technology Cooperation Special Project (2014DFT10320,2015DFT10160)The National Science and Technology Major Project of the Ministry of Science and Technology of China(2015zx03002006-003)FundamentalResearch Funds for the Central Universities (20101155739)
文摘The Internet of Vehicles(IoV)has been widely researched in recent years,and cloud computing has been one of the key technologies in the IoV.Although cloud computing provides high performance compute,storage and networking services,the IoV still suffers with high processing latency,less mobility support and location awareness.In this paper,we integrate fog computing and software defined networking(SDN) to address those problems.Fog computing extends computing and storing to the edge of the network,which could decrease latency remarkably in addition to enable mobility support and location awareness.Meanwhile,SDN provides flexible centralized control and global knowledge to the network.In order to apply the software defined cloud/fog networking(SDCFN) architecture in the IoV effectively,we propose a novel SDN-based modified constrained optimization particle swarm optimization(MPSO-CO) algorithm which uses the reverse of the flight of mutation particles and linear decrease inertia weight to enhance the performance of constrained optimization particle swarm optimization(PSO-CO).The simulation results indicate that the SDN-based MPSO-CO algorithm could effectively decrease the latency and improve the quality of service(QoS) in the SDCFN architecture.
基金Project supported by the National Natural Science Foundation of China(No.62102311)the Key Research and Development Program of Shaanxi,China(No.2021NY-211)。
文摘Smart meters in the Power Internet of Things generate a large amount of power data.However,data privacy in the process of calculation,storage,and transmission is an urgent problem to be solved.Therefore,in this paper we propose a power resource dispatching framework(PRDF)with a privacy protection function,which uses a certificateless aggregate signcryption scheme based on cloud-fog cooperation.Using pseudonyms and aggregating users’power data,PRDF not only protects users’privacy,but also reduces the computing cost and communication overhead under traditional cloud computing.In addition,if the control center finds that a user has submitted abnormal data,it can send a request to the user management center to track the real identity of the user.Our scheme satisfies security requirements based on the random oracle model,including confidentiality and unforgeability.Furthermore,we compare our scheme with other certificateless aggregate signcryption schemes by simulations.Simulation results show that compared with traditional methods,our method performs better in terms of the computation cost.
文摘工业物联网(Industrial Internet of Things,IIoT)是实施智能制造的重要载体,近年来引起了学术界和业界的极大兴趣。目前,在IIoT环境中主要采用云存储来存储数据,但是,云存储的过度延迟无法满足IIoT业务的时延要求,尤其是某些时延敏感型的业务。针对云存储应用于IIoT大数据场景存在数据传输时延较高的问题,文章研究了一种新型的"云/雾混合"网络架构,该架构利用雾计算层设备构建分布式雾存储体系结构,通过将IIoT中的数据分布式存储至多个雾节点,达到降低数据传输时延的目的。由于雾设备的可靠性低,数据容易丢失,进一步提出了分布式冗余存储分配方案,以提高存储系统的安全性。由于提出的问题是所有非确定性多项式(Non-deterministic Polynomial,NP)问题,是能在多项式时间复杂度内归约到的问题,因此提出一种启发式优化算法,用于在安全约束下最小化数据传输时延。性能评估结果验证了所提方案能够降低数据传输时延,同时保证雾存储系统的安全性。
