COLLABORATIVE

作品数:591被引量:702H指数:10
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相关领域:自动化与计算机技术更多>>
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相关机构:第二炮兵工程学院北京师范大学浙江大学西安外国语大学更多>>
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Dynamic Collaborative Data Download in Heterogeneous Satellite Networks
《China Communications》2025年第2期26-46,共21页Wu Qi Li Xintong Zhu Lidong 
supported by the National Natural Science Foundation of China under Grant 62371098;the National Key Laboratory ofWireless Communications Foundation under Grant IFN20230203;the National Key Research and Development Program of China under Grant 2021YFB2900404.
Low-earth-orbit(LEO)satellite network has become a critical component of the satelliteterrestrial integrated network(STIN)due to its superior signal quality and minimal communication latency.However,the highly dynamic...
关键词:backlog stability data download heterogeneous satellite networks Lyapunov optimization power allocation 
Joint Task Allocation and Resource Optimization for Blockchain Enabled Collaborative Edge Computing
《China Communications》2024年第12期231-242,共12页Xu Wenjing Wang Wei Li Zuguang Wu Qihui Wang Xianbin 
This work was supported in part by the National Key R&D Program of China under Grant 2020YFB1005900;the National Natural Science Foundation of China under Grant 62001220;the Jiangsu Provincial Key Research and Development Program under Grants BE2022068;the Natural Science Foundation of Jiangsu Province under Grants BK20200440;the Future Network Scientific Research Fund Project FNSRFP-2021-YB-03;the Young Elite Scientist Sponsorship Program,China Association for Science and Technology.
Collaborative edge computing is a promising direction to handle the computation intensive tasks in B5G wireless networks.However,edge computing servers(ECSs)from different operators may not trust each other,and thus t...
关键词:blockchain collaborative edge comput-ing resource optimization task allocation 
A Double-Timescale Reinforcement Learning Based Cloud-Edge Collaborative Framework for Decomposable Intelligent Services in Industrial Internet of Things
《China Communications》2024年第10期181-199,共19页Zhang Qiuyang Wang Ying Wang Xue 
supported by the National Natural Science Foundation of China(No.62171051)。
With the proportion of intelligent services in the industrial internet of things(IIoT)rising rapidly,its data dependency and decomposability increase the difficulty of scheduling computing resources.In this paper,we p...
关键词:computing service edge intelligence industrial internet of things(IIoT) reinforcement learning(RL) 
Air-Ground Collaborative Mobile Edge Computing:Architecture,Challenges,and Opportunities被引量:1
《China Communications》2024年第5期1-16,共16页Qin Zhen He Shoushuai Wang Hai Qu Yuben Dai Haipeng Xiong Fei Wei Zhenhua Li Hailong 
supported in part by the National Natural Science Foundation of China under Grant 62171465,62072303,62272223,U22A2031。
By pushing computation,cache,and network control to the edge,mobile edge computing(MEC)is expected to play a leading role in fifth generation(5G)and future sixth generation(6G).Nevertheless,facing ubiquitous fast-grow...
关键词:air-ground architecture COLLABORATIVE mobile edge computing 
Joint Task Allocation and Resource Optimization for Blockchain Enabled Collaborative Edge Computing被引量:1
《China Communications》2024年第4期218-229,共12页Xu Wenjing Wang Wei Li Zuguang Wu Qihui Wang Xianbin 
supported in part by the National Key R&D Program of China under Grant 2020YFB1005900;the National Natural Science Foundation of China under Grant 62001220;the Jiangsu Provincial Key Research and Development Program under Grants BE2022068;the Natural Science Foundation of Jiangsu Province under Grants BK20200440;the Future Network Scientific Research Fund Project FNSRFP-2021-YB-03;the Young Elite Scientist Sponsorship Program,China Association for Science and Technology.
Collaborative edge computing is a promising direction to handle the computation intensive tasks in B5G wireless networks.However,edge computing servers(ECSs)from different operators may not trust each other,and thus t...
关键词:blockchain collaborative edge computing resource optimization task allocation 
Multi-Topology Hierarchical Collaborative Hybrid Particle Swarm Optimization Algorithm for WSN被引量:1
《China Communications》2023年第8期254-275,共22页Yi Wang Kanqi Wang Maosheng Zhang Hongzhi Zheng Hui Zhang 
supported by the National Key Research and Development Program Projects of China(No.2018YFC1504705);the National Natural Science Foundation of China(No.61731015);the Major instrument special project of National Natural Science Foundation of China(No.42027806);the Key Research and Development Program of Shaanxi(No.2022GY-331)。
Wireless sensor networks(WSN)are widely used in many situations,but the disordered and random deployment mode will waste a lot of sensor resources.This paper proposes a multi-topology hierarchical collaborative partic...
关键词:particle swarm optimizer levy flight multi-topology hierarchical collaborative framework lamarckian learning intuitive fuzzy entropy wireless sensor network 
Path Computing Scheme with Low-Latency and Low-Power in Hybrid Cloud-Fog Network for IIoT被引量:1
《China Communications》2023年第8期1-16,共16页Jijun Ren Peng Zhu Zhiyuan Ren 
supported by the Shaanxi Key R&D Program Project(2021GY-100).
With the rapid development of the Industrial Internet of Things(IIoT),the traditional centralized cloud processing model has encountered the challenges of high communication latency and high energy consumption in hand...
关键词:collaborative offloading strategy cloudfog network architecture industrial internet of things path computing PDBPSO 
NOMA-Based Collaborative Beam Hopping Frequency Allocation Mechanism for Future LEO Satellite Systems
《China Communications》2023年第6期321-338,共18页Fei Zheng Zhao Pi Zou Zhou Miao Ye Hongbing Qiu 
supported by the Special Program of Guangxi Science and Technology Base and Talents under Grant No.AD18281020 and Grant No.AD18281044;National Natural Science Foundation of China under Grant No.Nos.62161006 and Grant No.Nos.61662018;Dean Project of Key Laboratory of Cognitive Radio and Information Processing of Ministry of Education under Grant No.CRKL190104 and Grant No.CRKL200107;Open Foundation of State key Laboratory of Networking and Switching Technology under Grant No.SKLNST-2020-1-08(Beijing University of Posts and Telecommunications)。
Low Earth orbit(LEO) satellite systems provide terrestrial users with services that are not limited by geographical location. However, the conflict between existing allocation schemes and the business variability betw...
关键词:LEO satellite beam hopping NOMA resource allocation 
Deep Reinforcement Learning-Based Collaborative Routing Algorithm for Clustered MANETs被引量:1
《China Communications》2023年第3期185-200,共16页Zexu Li Yong Li Wenbo Wang 
supported by the 2020 National Key R&D Program"Broadband Communication and New Network"special"6G Network Architecture and Key Technologies"(2020YFB1806700)。
Flexible adaptation to differentiated quality of service(QoS)is quite important for future 6G network with a variety of services.Mobile ad hoc networks(MANETs)are able to provide flexible communication services to use...
关键词:artificial intelligence deep reinforcement learning collaborative routing MANETS 6G 
A Resource-Based Pricing Collaborative Approach for Mitigating DDoS Attack in Mobile Edge Computing
《China Communications》2022年第12期160-175,共16页Lu Chen Hongbo Tang Wei You Yi Bai 
National Natural Science Foundation of China(No.61941114)and(No.61801515).
Resource-constrainted and located closer to users,edge servers are more vulnerable to Distributed Denial of Service(DDoS)attacks.In order to mitigate the impact of DDoS attacks on benign users,this paper designed a Re...
关键词:mobile edge computing DDoS attacks resource-based pricing game theory Nash equilibrium 
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