Feng Qi

ORCID: 0000-0003-2481-8774
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About
Contact & Profiles
Research Areas
  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Privacy-Preserving Technologies in Data
  • Urban Heat Island Mitigation
  • Advanced Optical Network Technologies
  • Software-Defined Networks and 5G
  • Cloud Computing and Resource Management
  • Urban Green Space and Health
  • Network Security and Intrusion Detection
  • Cryptography and Data Security
  • Service-Oriented Architecture and Web Services
  • IoT Networks and Protocols
  • Power Systems and Technologies
  • Smart Grid Security and Resilience
  • Mobile Agent-Based Network Management
  • Building Energy and Comfort Optimization
  • Remote Sensing and Land Use
  • Security in Wireless Sensor Networks
  • Caching and Content Delivery
  • Distributed systems and fault tolerance
  • Internet Traffic Analysis and Secure E-voting
  • Energy Efficient Wireless Sensor Networks
  • Advanced Computational Techniques and Applications
  • Satellite Communication Systems
  • Land Use and Ecosystem Services

Beijing University of Posts and Telecommunications
2015-2025

State Key Laboratory of Networking and Switching Technology
2009-2024

National University of Defense Technology
2021-2024

Zhejiang A & F University
2013-2024

University of Science and Technology of China
2024

Northwest Institute of Eco-Environment and Resources
2024

Chinese Academy of Sciences
2024

Peng Cheng Laboratory
2019-2021

Inner Mongolia University
2021

Switch
2019

As the great prevalence of various Internet Things (IoT) terminals, how to solve problem isolated information among different IoT platforms attracts attention from both academia and industry. It is necessary establish a trusted access system achieve secure authentication collaborative sharing. Therefore, this article proposes distributed based on blockchain edge computing, aiming improve efficiency. This consists physical network layer, layer layer. Through network, an optimized practical...

10.1109/tii.2019.2938001 article EN IEEE Transactions on Industrial Informatics 2019-08-28

Blockchain technology is developing rapidly and has been applied in various aspects, among which there are broad prospects Internet of Things (IoT). However, IoT mobile devices restricted communication computation due to mobility portability, so that they can't afford the high computing cost for blockchain mining process. To solve it, free resources displayed on non-mining-devices edge cloud selected construct collaborative network(CMN) execute tasks blockchain. Miners can offload their...

10.1109/tvt.2020.2982000 article EN IEEE Transactions on Vehicular Technology 2020-03-19

Nowadays, the widely used Internet-of-Things (IoT) mobile devices (MDs) generate huge volumes of data, which need analyzing and extracting accurate information in real time by compute-intensive deep learning (DL) inference tasks. Due to its multilayer structure, neural network (DNN) is appropriate for mobile-edge computing (MEC) environment, DL tasks can be offloaded DNN partitions deployed MEC servers (MECSs) speed-up inference. In this article, we first assume arrival process as Poisson...

10.1109/jiot.2020.2981338 article EN IEEE Internet of Things Journal 2020-03-17

Private and public networks sharing resources for Internet of Things (IoT) network through function virtualization (NFV) software-defined networking (SDN) forms a heterogeneous cloud-edge environment. However, the faces trust adaptation issues in resource allocation. To address these two problems, we introduce consortium blockchain deep reinforcement learning (DRL) to construct trusted auto-adjust service chain (SFC) orchestration architecture. In architecture, this article integrates into...

10.1109/jiot.2019.2951593 article EN IEEE Internet of Things Journal 2019-11-05

As a mode of processing task request, edge computing paradigm can reduce delay and effectively alleviate network congestion caused by the proliferation Internet things(IoT) devices compared with cloud computing. However, in actual construction network, there are various autonomous subnets adjacent areas, which leads to possibility unbalance server load among during peak period request. In this paper, deep reinforcement learning algorithm is proposed solve complex computation offloading...

10.1109/access.2020.2991773 article EN cc-by IEEE Access 2020-01-01

As a novel computing technology closer to business ends, edge has become an effective solution for delay sensitive of power Internet Things (IoT) and promotes the application development IoT in smart grids. However, inherent characteristics single node with limited resources may fail meet requirements access ubiquitous businesses massive access. Multiple nodes are needed cooperate each other optimize workload allocation provide lower services. To this end, paper proposes mechanism, orienting...

10.1109/access.2019.2920325 article EN cc-by-nc-nd IEEE Access 2019-01-01

As Internet-of-Things (IoT) service becomes richer, data sharing among different IoT systems gets popular. The traditional system provides storage and access with the central cloud, which faces serious trust security challenges. To provide a cross-system service, we adopt blockchain to build multicenter management (DM) framework construct trustable environment for sharing. regards problem, attribute-based encryption (ABE) has been applied system, but it still relies on server. Therefore,...

10.1109/jiot.2021.3111012 article EN IEEE Internet of Things Journal 2021-09-08

In recent years, the impact of surface heat islands in urban street canyons has become increasingly apparent. However, research on use trees to mitigate remains limited. To address this gap, study combines experiments and simulations analyze cooling effect temperatures under varying timeframes layouts an east–west canyon. The results reveal that temperature road decreases by 10–15 °C, which is 2–4 times greater than south side. Moreover, at 5:00 p.m. afternoon, side 10.3 twice north...

10.3390/atmos14050857 article EN cc-by Atmosphere 2023-05-11

With the fast development of smart cities and 5G, amount mobile data is growing exponentially. The centralized cloud computing mode hard to support continuous exchanging processing information generated by millions Internet-of-Things (IoT) devices. Therefore, mobile-edge (MEC) software-defined networking (SDN) are introduced form a cloud-edge-terminal collaboration network (CETCN) architecture jointly utilize communicational computational resources. Although CETCN brings many benefits, there...

10.1109/jiot.2020.3002427 article EN IEEE Internet of Things Journal 2020-06-15

As a new trusted data sharing pattern with privacy protection, the integration mechanism of blockchain and Federated Learning has attracted extensive attention. Generally, this uses technology to supervise original calculation results, which ignores supervision model computing process. Therefore, we introduce concepts sandbox state channel construct paradigm via Blockchain Learning. Under paradigm, use connect And is used create "trusted sandbox" instantiate tasks in trustless edge...

10.1109/tc.2022.3180968 article EN IEEE Transactions on Computers 2022-01-01

As the future trend, more and vehicles access to Internet of Vehicles, which means that a huge number tasks vehicle terminals need be transformed completed on network. Edge computing makes executed edge nodes near terminal, but some are at relatively idle state these additional resources not utilized, causing great waste resources. What is more, it hard highly comprehensively satisfy high real-time requirements tasks. In order execute efficiently, we propose dynamic edge–end collaboration...

10.1016/j.comnet.2023.109690 article EN cc-by-nc-nd Computer Networks 2023-03-22

Feature Selection (FS) is one of the most important issues in Text Categorization (TC). Empirical studies show that Information Gain (IG) an effective method FS. However, as traditional IG gives little attention to term frequency and takes into account situation does not appear, effect ideal. In this paper, we put forward improved information gain-based feature selection using balance factor(IGTB) for statistical machine learning-based text categorization. Our strives precisely pick out key...

10.1109/vitae.2014.6934421 article EN 2014-05-01

As a novel computing technology closer to business ends, edge has become an effective solution for delay sensitive of power Internet Things (IoT). However, the uneven spatial and temporal distribution requests in network leads significant difference busyness between nodes. Due natural lightweight portability, container migration critical load balancing, thereby optimizing resource utilization To this end, paper proposes migration-based decision-making (CMDM) mechanism IoT. First,...

10.1109/access.2020.3004615 article EN cc-by IEEE Access 2020-01-01

<p>Blockchain interoperability conflates the need for distributed systems to communicate with third- party without existence of a canonical chain or orchestration layer. As there is not “a rule them all” (due reasons such as performance, privacy, and market forces), these rely on exchanging data value across network boundaries. Interconnected achieve higher than sum their parts, similar how Internet emerged set isolated Local Area Networks (LANs) - and, by force surprising synergies,...

10.36227/techrxiv.23418677.v3 preprint EN cc-by-nc-sa 2023-09-14

The combination of service-oriented architecture (SOA) and peer-to-peer (P2P) plays a promising role in distributed manufacturing environments that the peer service can be used to facilitate integration discovery resources achieve communication collaboration across virtual enterprises. However, large size, dynamic nature, heterogeneous expression bring forth serious challenge scalability efficiency. This paper presents self-organized P2P framework supports scalable efficient (MS) for...

10.1109/tsmcc.2013.2265234 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2013-09-16

Recently, sensors are applied to support the realization of innovative smart grid. As high reliability requirements electric power, communication with fault tolerance have been focus many researchers. In this paper, used monitor and control power distribution network. limitation linear topology, we investigate redundancy relay nodes in hybrid network architecture propose an integrated framework. The framework provides solutions for three subproblems which number problem, placement adaptive...

10.1109/jsen.2014.2368559 article EN IEEE Sensors Journal 2014-11-24

In this paper, we investigate the optimal location of electric vehicle (EV) charging stations. As one crucial infrastructures EV, stations must be widely deployed to meet growing needs EV. study, propose a locating method station when considering economics, capacity, coverage and convenience. order solve problem, an optimization model for is established first, which minimizes investment cost transportation cost, meanwhile, constraints convenience should satisfied simultaneously. Then,...

10.1109/apnoms.2015.7275344 article EN 2015-08-01
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