The growing development of the Internet of Things(IoT)is accelerating the emergence and growth of new IoT services and applications,which will result in massive amounts of data being generated,transmitted and pro-cess...The growing development of the Internet of Things(IoT)is accelerating the emergence and growth of new IoT services and applications,which will result in massive amounts of data being generated,transmitted and pro-cessed in wireless communication networks.Mobile Edge Computing(MEC)is a desired paradigm to timely process the data from IoT for value maximization.In MEC,a number of computing-capable devices are deployed at the network edge near data sources to support edge computing,such that the long network transmission delay in cloud computing paradigm could be avoided.Since an edge device might not always have sufficient resources to process the massive amount of data,computation offloading is significantly important considering the coop-eration among edge devices.However,the dynamic traffic characteristics and heterogeneous computing capa-bilities of edge devices challenge the offloading.In addition,different scheduling schemes might provide different computation delays to the offloaded tasks.Thus,offloading in mobile nodes and scheduling in the MEC server are coupled to determine service delay.This paper seeks to guarantee low delay for computation intensive applica-tions by jointly optimizing the offloading and scheduling in such an MEC system.We propose a Delay-Greedy Computation Offloading(DGCO)algorithm to make offloading decisions for new tasks in distributed computing-enabled mobile devices.A Reinforcement Learning-based Parallel Scheduling(RLPS)algorithm is further designed to schedule offloaded tasks in the multi-core MEC server.With an offloading delay broadcast mechanism,the DGCO and RLPS cooperate to achieve the goal of delay-guarantee-ratio maximization.Finally,the simulation results show that our proposal can bound the end-to-end delay of various tasks.Even under slightly heavy task load,the delay-guarantee-ratio given by DGCO-RLPS can still approximate 95%,while that given by benchmarked algorithms is reduced to intolerable value.The simulation results are demonstrated the effective-ness of DGCO-RLPS for delay guarantee in MEC.展开更多
Decentralized production model of small peasant household is main threat for China food safety source. By using the advantage of farmer professional cooperative in controlling the quality of agricultural products,its ...Decentralized production model of small peasant household is main threat for China food safety source. By using the advantage of farmer professional cooperative in controlling the quality of agricultural products,its dilemma at the guarantee aspect of agricultural product quality safety is analyzed,and the guaranteeing measures of farmer professional cooperative for quality safety of agricultural products are proposed,which has an important significance for improving quality safety of agricultural products.展开更多
According to the legal definitions of land transfer under shareholding cooperative systems,rural groups,collective rights of members,and this paper discloses the necessity of protecting the collective rights of member...According to the legal definitions of land transfer under shareholding cooperative systems,rural groups,collective rights of members,and this paper discloses the necessity of protecting the collective rights of members.In terms of qualification definition of members,rights of fetus,married daughters and sons in law cannot be guaranteed.In terms of rights protection,partial rights cannot be assured,power of personal stake inthe collective members is imperfect which results in inadequate,unbalanced,shaky and unpunctuated benefits.Based on objective and subjectivecauses,the democratic management rights of members in land transfer process have been weakened or even deprived,the protection of the basiclife is hard to realize.The paper proposes that it is necessary to build the social protection mechanisms of rural land shareholding cooperative sys-tems.The first is to treat those members that own land,attending the shareholding cooperation but having not taken part in the land transfer proces-sion as the protection objects.The second is in the procession of land transfer,making it clear the compensation standards of land transfer,estab-lishing the intermediate agencies of land transfer and performing the collective economic organizing functions.The third is that the account capital ofsocial protection is contributed together by personal member,the land users(shareholding cooperative companies) and government.The fourth isto pay more attention to the added value and safety management of capital operation.展开更多
To guarantee secure information transmission within two sources,a full-duplex(FD)relay jamming scheme for two-way energy harvesting(EH)cooperative networks is proposed,in which the relay can achieve simultaneous infor...To guarantee secure information transmission within two sources,a full-duplex(FD)relay jamming scheme for two-way energy harvesting(EH)cooperative networks is proposed,in which the relay can achieve simultaneous information reception and jamming transmission.The EH relay node scavenges energy from two source signals,and then,uses the harvested energy for information relaying and jamming transmission by the power splitting(PS)protocol.Considering multiple eavesdroppers,the nonconvex optimization for maximizing the smaller bidirectional secrecy rates is formulated by jointly optimizing the power allocation and PS factor.Furthermore,an iterative algorithm based on successive convex approximation and alternate search method is proposed to solve this non-convexity.Simulation results verify the proposed iterative algorithm and show that the proposed jamming scheme can achieve substantial performance gain than other conventional schemes.展开更多
基金supported in part by the National Natural Science Foundation of China under Grant 61901128,62273109the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(21KJB510032).
文摘The growing development of the Internet of Things(IoT)is accelerating the emergence and growth of new IoT services and applications,which will result in massive amounts of data being generated,transmitted and pro-cessed in wireless communication networks.Mobile Edge Computing(MEC)is a desired paradigm to timely process the data from IoT for value maximization.In MEC,a number of computing-capable devices are deployed at the network edge near data sources to support edge computing,such that the long network transmission delay in cloud computing paradigm could be avoided.Since an edge device might not always have sufficient resources to process the massive amount of data,computation offloading is significantly important considering the coop-eration among edge devices.However,the dynamic traffic characteristics and heterogeneous computing capa-bilities of edge devices challenge the offloading.In addition,different scheduling schemes might provide different computation delays to the offloaded tasks.Thus,offloading in mobile nodes and scheduling in the MEC server are coupled to determine service delay.This paper seeks to guarantee low delay for computation intensive applica-tions by jointly optimizing the offloading and scheduling in such an MEC system.We propose a Delay-Greedy Computation Offloading(DGCO)algorithm to make offloading decisions for new tasks in distributed computing-enabled mobile devices.A Reinforcement Learning-based Parallel Scheduling(RLPS)algorithm is further designed to schedule offloaded tasks in the multi-core MEC server.With an offloading delay broadcast mechanism,the DGCO and RLPS cooperate to achieve the goal of delay-guarantee-ratio maximization.Finally,the simulation results show that our proposal can bound the end-to-end delay of various tasks.Even under slightly heavy task load,the delay-guarantee-ratio given by DGCO-RLPS can still approximate 95%,while that given by benchmarked algorithms is reduced to intolerable value.The simulation results are demonstrated the effective-ness of DGCO-RLPS for delay guarantee in MEC.
文摘Decentralized production model of small peasant household is main threat for China food safety source. By using the advantage of farmer professional cooperative in controlling the quality of agricultural products,its dilemma at the guarantee aspect of agricultural product quality safety is analyzed,and the guaranteeing measures of farmer professional cooperative for quality safety of agricultural products are proposed,which has an important significance for improving quality safety of agricultural products.
基金Supported by the Collective Impact Survey of Rural Collective Members' Rights on the Land Transfer of National College Innovative Pilot Projects of 2009 (081035716)
文摘According to the legal definitions of land transfer under shareholding cooperative systems,rural groups,collective rights of members,and this paper discloses the necessity of protecting the collective rights of members.In terms of qualification definition of members,rights of fetus,married daughters and sons in law cannot be guaranteed.In terms of rights protection,partial rights cannot be assured,power of personal stake inthe collective members is imperfect which results in inadequate,unbalanced,shaky and unpunctuated benefits.Based on objective and subjectivecauses,the democratic management rights of members in land transfer process have been weakened or even deprived,the protection of the basiclife is hard to realize.The paper proposes that it is necessary to build the social protection mechanisms of rural land shareholding cooperative sys-tems.The first is to treat those members that own land,attending the shareholding cooperation but having not taken part in the land transfer proces-sion as the protection objects.The second is in the procession of land transfer,making it clear the compensation standards of land transfer,estab-lishing the intermediate agencies of land transfer and performing the collective economic organizing functions.The third is that the account capital ofsocial protection is contributed together by personal member,the land users(shareholding cooperative companies) and government.The fourth isto pay more attention to the added value and safety management of capital operation.
基金supported in part by the National Nature Science Foundation of China under Grant 61473066 and Grant 61601109the Fundamental Research Funds for the Central Universities under Grant No.N152305001the Natural Science Foundation of Hebei Province under Grant F2017501039.
文摘To guarantee secure information transmission within two sources,a full-duplex(FD)relay jamming scheme for two-way energy harvesting(EH)cooperative networks is proposed,in which the relay can achieve simultaneous information reception and jamming transmission.The EH relay node scavenges energy from two source signals,and then,uses the harvested energy for information relaying and jamming transmission by the power splitting(PS)protocol.Considering multiple eavesdroppers,the nonconvex optimization for maximizing the smaller bidirectional secrecy rates is formulated by jointly optimizing the power allocation and PS factor.Furthermore,an iterative algorithm based on successive convex approximation and alternate search method is proposed to solve this non-convexity.Simulation results verify the proposed iterative algorithm and show that the proposed jamming scheme can achieve substantial performance gain than other conventional schemes.
