Toward information-centric software-defined cellular networks

Moscholios, Ioannis D.; Alzahrani, Bander A.; Logothetis, Michael D.

doi:10.23919/contel.2017.8000045

Cited by 7 publications

(4 citation statements)

References 32 publications

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“…Moreover, this structure reduced the flow delay, flow setup requirement quantity, and flow entity quantity. To accelerate packet dissemination to mobile users of cellular networks, the authors in [159] presented a novel ICN protocol for the SDN-enabled ICN networks. This protocol possessed fast and efficient content transmission, which made improvements in routing and mobility.…”

Section: Mutual Immersive Patternmentioning

confidence: 99%

“…In particular, the simulation parameters can be set concerning the specific application environment, so that the simulation results are closer to the actual situation. Taking [147,159] and [106] as examples, they used NS-3, MATLAB, and OMNET simulators to prove that the proposed schemes can achieve the corresponding functions.…”

Section: Network Simulation Verificationmentioning

confidence: 99%

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Survey on the scheme evaluation, opportunities and challenges of software defined‐information centric network

Ai,

Zhang,

Zhang

et al. 2023

IET Communications

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As a promising architecture of next‐generation network, software defined‐information centric network (SD‐ICN) inherits the advantages of software defined network (SDN) and information‐centric network (ICN) to enable flexible and fast content retrieval, especially in the current era of artificial intelligence. However, the existing researches mainly focus on a single respective in this field, which motivates in comprehensively providing a forward‐looking guidance and development direction for scholars and engineers. To this end, the latest developments of SD‐ICN is presented. First, the widely‐accepted concepts and impacts on traditional networks are introduced. Second, the shortcomings of SDN and ICN over conventional networks are respectively analyzed to illustrate the necessity of SD‐ICN. Third, based on extensive analysis and deep deliberation, a methodical taxonomy for existing combination studies is proposed. They are divided into SDN over ICN, ICN over SDN, and mutual immersive pattern. Fourth, the performances of three integration categories are compared and the limitations of related works are highlighted. Fifth, the maturity index from six development indicators are evaluated. Further, the maturity and practicality of these schemes are generalized. Based on the above studies and comparisons, the lessons learned by SDN and ICN developments are concluded. Finally, future research directions and opportunities are discussed for the readers.

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Section: Mutual Immersive Patternmentioning

confidence: 99%

Section: Network Simulation Verificationmentioning

confidence: 99%

Survey on the scheme evaluation, opportunities and challenges of software defined‐information centric network

Ai,

Zhang,

Zhang

et al. 2023

IET Communications

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“…It forms a scalable and efficient interoperability framework, which could be deployed over SDICN for IoT service provisioning. Vassilakis et al [98] propose ICN protocol for SDN-based cellular networks. The authors develop two novel network functions, namely the request resolution function and content routing function.…”

Section: Sdic-iot Openflow Implementations For Iotmentioning

confidence: 99%

Complementing IoT Services Using Software-Defined Information Centric Networks: A Comprehensive Survey

Rafique

Hafid

Cherkaoui

2022

IEEE Internet Things J.

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IoT connects a large number of physical objects with the Internet that capture and exchange real-time information for service provisioning. Traditional network management schemes face challenges to manage vast amounts of network traffic generated by IoT services. Software-Defined Networking (SDN) and Information-Centric Networking (ICN) are two complementary technologies that could be integrated to solve the challenges of different aspects of IoT service provisioning. ICN offers a clean-slate design to accommodate continuously increasing network traffic by considering content as a network primitive. It provides a novel solution for information propagation and delivery for large-scale IoT services. On the other hand, SDN allocates overall network management responsibilities to the central controller, where network elements act merely as traffic forwarding components. An SDN-enabled network flexibly supports ICN without deploying ICN-capable hardware. Therefore, the integration of SDN and ICN provides benefits for large-scale IoT services. This paper provides a comprehensive survey on Software-Defined Information-Centric Internet of Things (SDIC-IoT) for IoT services provisioning. We present critical enabling technologies of SDIC-IoT, discuss its architecture, and elaborate its benefits for IoT services provisioning. We elaborate on key IoT service provisioning requirements and discuss how SDIC-IoT supports different aspects of IoT services. We develop different taxonomies of SDIC-IoT literature based on various performance parameters. Furthermore, an extensive discussion on different use cases, synergies, and advances is presented to envision the SDIC-IoT concept. Finally, we provide current challenges, causes, and future research directions of IoT services provisioning using SDIC-IoT.

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“…It cannot improve the speed of data transmission in nature in the face of the new big data network environment . In the SDN‐based information centric network, the application layer implements such services as name resolution, name routing, and content caching in the ICN idea and implements service deployment through an open interface provided by the control layer . However, the information centric network based on SDN is mainly based on the ground network.…”

Section: Introductionmentioning

confidence: 99%

Routing algorithm design of satellite network architecture based on SDN and ICN

Liu

Zhu

Zhang

et al. 2019

Satell Commun Network

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Summary In view of the problems of low routing efficiency, complex control process, and difficult network management in big data environment in the traditional integrated space‐terrestrial network, in the paper, we propose a satellite network architecture called software‐defined information centric satellite networking (SDICSN) based on software‐defined networking (SDN) and information‐centric networking (ICN), and we design a virtual node matrix routing algorithm (VNMR) under the SDICSN architecture. The SDICSN architecture realizes the flexibility of network management and business deployment through the features of the separation of forwarding and controlling by the SDN architecture and improves the response speed of requests in the network by the centric of “content” as the ICN idea. According to the periodicity and predictability of the satellite network, the VNMR algorithm obtains the routing matrix through the relative orientation of the source and destination nodes, thus reducing the spatial complexity of the input matrix of the Dijkstra algorithm and then reducing the time complexity of the routing algorithm. For forwarding information base (FIB), the mechanism of combination of event driven and polling can be quickly updated in real time. Finally, the advantages of the SDICSN architecture in routing efficiency, request delay, and request aggregation are verified by simulation.

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Toward information-centric software-defined cellular networks

Cited by 7 publications

References 32 publications

Survey on the scheme evaluation, opportunities and challenges of software defined‐information centric network

Survey on the scheme evaluation, opportunities and challenges of software defined‐information centric network

Complementing IoT Services Using Software-Defined Information Centric Networks: A Comprehensive Survey

Routing algorithm design of satellite network architecture based on SDN and ICN

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