Deployment of IoT applications on 5G edge

Kiss, Péter; Reale, Anna; Ferrari, C.; Istenes, Zoltán

doi:10.1109/fiot.2018.8325595

Cited by 31 publications

(15 citation statements)

References 25 publications

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“…One of the applications of AI is the implementation of 5G networks, which is shown in the CogNet project [101] in which an architecture of an autonomic self-managing network extending NFV management with the machine learningbased decision-making mechanism is discussed. The reason behind deploying a more adaptive controlling mechanism next to base NFV functionalities is the pursuit to reduce the costs of the system, whilst keeping QoS on a competitively high level.…”

Section: Intelligent Networkingmentioning

confidence: 99%

“…The primary motives for using AI related technologies in the 5G-IoT infrastructures is to enable the network to intelligently adjust its configurations as the requirements or parameters of the environment change [101]. The new 5G network should be able to provide efficient solutions for radio resource management (RRM), mobility management (MM), management and orchestration (MANO), and service provisioning management (SPM), making dedicated purpose networks no longer necessary instead dynamic reconfigurations of networks [113].…”

Section: Will 5g Be Future-proof?mentioning

confidence: 99%

See 1 more Smart Citation

Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios

et al. 2020

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The Internet of Things (IoT)-centric concepts like augmented reality, high-resolution video streaming, self-driven cars, smart environment, e-health care, etc. have a ubiquitous presence now. These applications require higher data-rates, large bandwidth, increased capacity, low latency and high throughput. In light of these emerging concepts, IoT has revolutionized the world by providing seamless connectivity between heterogeneous networks (HetNets). The eventual aim of IoT is to introduce the plug and play technology providing the end-user, ease of operation, remotely access control and configurability. This paper presents the IoT technology from a bird's eye view covering its statistical/architectural trends, use cases, challenges and future prospects. The paper also presents a detailed and extensive overview of the emerging 5G-IoT scenario. Fifth Generation (5G) cellular networks provide key enabling technologies for ubiquitous deployment of the IoT technology. These include carrier aggregation, multiple-input multipleoutput (MIMO), massive-MIMO (M-MIMO), coordinated multipoint processing (CoMP), device-to-device (D2D) communications, centralized radio access network (CRAN), software-defined wireless sensor networking (SD-WSN), network function virtualization (NFV) and cognitive radios (CRs). This paper presents an exhaustive review for these key enabling technologies and also discusses the new emerging use cases of 5G-IoT driven by the advances in artificial intelligence, machine and deep learning, ongoing 5G initiatives, quality of service (QoS) requirements in 5G and its standardization issues. Finally, the paper discusses challenges in the implementation of 5G-IoT due to high data-rates requiring both cloud-based platforms and IoT devices based edge computing.

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Section: Intelligent Networkingmentioning

confidence: 99%

Section: Will 5g Be Future-proof?mentioning

confidence: 99%

Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios

et al. 2020

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“…Table 3 shows comparisons on two kinds of network delay components for the 3G, 4G and 5G networks. According to [24], TIntra can be reduced to 2 ms in 5G networks while TIntra of 20 ms is required in 4G networks. Then, it is reasonable to consider that TE2E values in 4G networks and 5G networks are 50 ms and 5 ms, respectively.…”

Section: Improvement Effects Of the Proposed Bsm Schemementioning

confidence: 99%

“…From the latency viewpoints, our BSM scheme is more advantageous in security management because security parameter agreements between end-to-end peers can be easily obtained via blockchain. Furthermore, considering low latency of 1 ms in 5G networks (10 to 20 ms for 4G), our BSM scheme is more useful in 5G environments because it requires less computational load during secure session setup and the latency to the setup secure session is mainly affected by the network delay components [23,24,25].…”

Section: Introductionmentioning

confidence: 99%

Packet Key-Based End-to-End Security Management on a Blockchain Control Plane

Jung

Peradilla

Agulto

2019

Sensors

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The existing LTE mobile system uses the vertical model to handle the session-based security management. However, the goal of this paper is to propose a packet key-based security management scheme on the blockchain control plane to enhance the existing session key-based security scheme and overcome the limitation that the existing vertical model, as well as the Software-Defined Networking (SDN) based horizontal model, confronts within solving end-to-end security management. The proposed blockchain-based security management (BSM) scheme enables each peer to easily obtain the necessary parameters required to manage the packet key-based security system. The important features of the BSM scheme include the renewal process, which enables the different packet data streams to use completely different security parameters for the security management. In addition, because even blind values cannot be exposed to the possible attackers, our BSM scheme guarantees very secure end-to-end data transfer against active attacks such as falsification of data and transactions. Finally, this paper compares the BSM scheme with the existing vertical model to prove the advantageous effects on latency.

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“…The development of 5G application services will be largely on the Internet of Things (IoT) and encourages the new communication market to move toward a more verticalsubdivision one [17,18]. The result will be the formation of different emerging application service scenarios and more diverse demands for networks.…”

Section: Background and Related Workmentioning

confidence: 99%

Micro Operator Design Pattern in 5G SDN/NFV Network

Tseng

Huang

Tseng

et al. 2018

Wireless Communications and Mobile Computing

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The trend of 5G mobile networks is increasing with the number of users and the transmission rate. Many operators are turning to small cell and indoor coverage of telecom network service. With the emerging Software Defined Networking and Network Function Virtualization technologies, Internet Service Provider is able to deploy their networks more flexibly and dynamically. In addition to the change of the wireless mobile network deployment model, it also drives the development trend of the Micro Operator ( O). Telecom operators can provide regional network services through public buildings, shopping malls, or industrial sites. In addition, localized network services are provided and bandwidth consumption is reduced. The distributed architecture of O tackles computing requirements for applications, data, and services from cloud data center to edge network devices or to the micro data center of O. The service model of O is capable of reducing network latency in response to the low-latency applications for future 5G edge computing environment. This paper addresses the design pattern of 5G micro operator and proposes a Decision Tree Based Flow Redirection (DTBFR) mechanism to redirect the traffic flows to neighbor service nodes. The DTBFR mechanism allows different Os to share network resources and speed up the development of edge computing in the future.

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Deployment of IoT applications on 5G edge

Cited by 31 publications

References 25 publications

Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios

Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios

Packet Key-Based End-to-End Security Management on a Blockchain Control Plane

Micro Operator Design Pattern in 5G SDN/NFV Network

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