| 1. |
- Ahmad, Ijaz, et al.
(författare)
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Machine Learning Meets Communication Networks: Current Trends and Future Challenges
- 2020
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Ingår i: IEEE Access. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 2169-3536. ; 8, s. 223418-223460
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Tidskriftsartikel (refereegranskat)abstract
- The growing network density and unprecedented increase in network traffic, caused by the massively expanding number of connected devices and online services, require intelligent network operations. Machine Learning (ML) has been applied in this regard in different types of networks and networking technologies to meet the requirements of future communicating devices and services. In this article, we provide a detailed account of current research on the application of ML in communication networks and shed light on future research challenges. Research on the application of ML in communication networks is described in: i) the three layers, i.e., physical, access, and network layers; and ii) novel computing and networking concepts such as Multi-access Edge Computing (MEC), Software Defined Networking (SDN), Network Functions Virtualization (NFV), and a brief overview of ML-based network security. Important future research challenges are identified and presented to help stir further research in key areas in this direction.
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| 2. |
- Li, Yuhong, et al.
(författare)
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A SDN-based architecture for horizontal Internet of Things services
- 2016
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Ingår i: IEEE International Conference on Communications (ICC 2016). - : IEEE Computer Society. - 9781479966646
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Konferensbidrag (refereegranskat)abstract
- The Internet of Things (IoT) architecture is expected to evolve into a horizontal model containing various open systems, integrated environments, and platforms. However, not much research effort has been devoted to developing architectures for horizontal IoT solutions so far. This paper presents an IoT architecture based on Software-Defined Networking (SDN). In this architecture, devices, gateways, and data are open and programmable to IoT application developers and service operators. Moreover, IoT data provision and interoperability are supported at different levels. We present an implementation of the proposed architecture. Our implementation shows that the proposed architecture enables rapid creation of IoT applications by reusing ready applications and data. The measurement and evaluation results demonstrate the feasibility of the proposed architecture.
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| 3. |
- Li, Yuhong, et al.
(författare)
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Distance Assisted Information Dissemination with Broadcast Suppression for ICN-based VANET
- 2016
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Konferensbidrag (refereegranskat)abstract
- Information-centric networking (ICN) is being applied to the vehicular networks by more and more researchers on account of its lightweight and connectionless networking paradigm and in-network caching characteristics, making it suitable for the dynamic environments of vehicular networks. However, wireless transmission of interest packets to find content in the network may lead to broadcast storms that can affect the performance of information dissemination severely. This paper proposes a distance assisted data dissemination method with broadcast storm suppressing mechanism (DASB) for supporting rapid and efficient information dissemination in ICN-based vehicular ad hoc networks (VANETs). Geo-position data of vehicles are used to accelerate packet forwarding, and vehicular nodes in certain areas are restricted to forward packets in order to suppress the broadcast storm. Simulation results show that the proposed method can greatly reduce the total number of packets transmitted in the network, and the successful information delivery ratio and information delivery time can also be improved.
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| 4. |
- Li, Yuhong, et al.
(författare)
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Enhancing the internet of things with knowledge-driven software-defined networking technology : Future perspectives
- 2020
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Ingår i: Sensors. - : MDPI AG. - 1424-8220. ; 20:12, s. 1-20
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Tidskriftsartikel (refereegranskat)abstract
- The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming existing IoT devices, long service provisioning time, underused resources, as well as complexity, isolation and scalability, among others. One fundamental concern is that current IoT networks lack flexibility and intelligence. A network-wide flexible control and management are missing in IoT networks. In addition, huge numbers of devices and large amounts of data are involved in IoT, but none of them have been tuned for supporting network management and control. In this paper, we argue that Software-defined Networking (SDN) together with the data generated by IoT applications can enhance the control and management of IoT in terms of flexibility and intelligence. We present a review for the evolution of SDN and IoT and analyze the benefits and challenges brought by the integration of SDN and IoT with the help of IoT data. We discuss the perspectives of knowledge-driven SDN for IoT through a new IoT architecture and illustrate how to realize Industry IoT by using the architecture. We also highlight the challenges and future research works toward realizing IoT with the knowledge-driven SDN.
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| 5. |
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| 6. |
- Li, Yuhong, et al.
(författare)
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Implicit Cooperative Caching based on Information Popularity for Vehicular Networks
- 2017
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Ingår i: CHANTS 2017. - New York : ACM Digital Library. - 9781450351447 ; , s. 51-56
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Konferensbidrag (refereegranskat)abstract
- Information dissemination is one of the most important tasks of vehicular networks. Therefore, information-centric networking (ICN) technology is being more and more widely used in vehicular networks due to the connectionless and lightweight characteristics of this networking paradigm. Caching plays an essential role in information-centric networks, but current caching techniques for ICN are not ideal for use in vehicular networks on account of the dynamicity and wireless transmission of vehicular networks. This paper presents a caching approach for ICN-based vehicular networks that takes into account both the dynamicity of vehicular networks and the popularity of the information to be distributed. By introducing the “interval” metric and estimating the popularity of information and current networking conditions of the vehicles on road, cooperative caching among nodes can be realized without exchanging cache management information among them. Simulation results show that the proposed approach can increase the storage space utilization and has low data response time for vehicular networks.
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