Enabling Communication Technologies for Automated Unmanned Vehicles in Industry 4.0

Fellan, Amina; Schellenberger, Christian; Zimmermann, Marc; Schotten, Hans D.

doi:10.1109/ictc.2018.8539695

Cited by 38 publications

(19 citation statements)

References 25 publications

(26 reference statements)

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“…These use cases seeks a latency of less than 10 ms and 99.9999% resources availability. While eMBB applications include virtual and augmented reality which needs high data rate universal connection [19], [152], [156], [163]- [167].…”

Section: A Smart Factorymentioning

confidence: 99%

URLLC and eMBB in 5G Industrial IoT: A Survey

Sharfeen¹,

Jangsher²,

ahmed³

et al. 2022

Preprint

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Section: A Smart Factorymentioning

confidence: 99%

URLLC and eMBB in 5G Industrial IoT: A Survey

Sharfeen¹,

Jangsher²,

ahmed³

et al. 2022

Preprint

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show abstract

“…To enable the virtualization of the network infrastructure as building block functions and services, a new technology called NFV has been deployed [153]. Indeed, NFV can manage these virtualized services based on a centralized orchestration entity [154].…”

Section: Network Function Virtualization (Nfv)mentioning

confidence: 99%

Softwarization of UAV Networks: A Survey of Applications and Future Trends

et al. 2020

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Unmanned Aerial Vehicles (UAVs) have become increasingly important in assisting 5G and beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the ever-increasing mobile data demands of such mobile networks and provide ubiquitous connectivity to different kinds of wireless devices. However, the UAV assistance paradigm faces a set of crucial issues and challenges. For example, the network management of current UAV-assisted systems is time consuming, complicated, and carried out manually, thus causing a multitude of interoperability issues. To efficiently address all these issues, Software-Defined Network (SDN) and Network Function Virtualization (NFV) are two promising technologies to efficiently manage and improve the UAV assistance for the next generation of mobile networks. In the literature, no clear guidelines are describing the different use cases of SDN and NFV in the context of UAV assistance to terrestrial networks, including mobile networks. Motivated by this fact, in this survey, we guide the reader through a comprehensive discussion of the main characteristics of SDN and NFV technologies. Moreover, we provide a thorough analysis of the different classifications, use cases, and challenges related to UAV-assisted systems. We then discuss SDN/NFV-enabled UAV-assisted systems, along with several case studies and issues, such as the involvement of UAVs in cellular communications, monitoring, and routing, to name a few. We furthermore present a set of open research challenges, high-level insights, and future research directions related to UAV-assisted systems.

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“…Wireless Technologies [7], [31], [32] A review of enabling communication technologies and AGVs use cases for flexible production. Review of flexible Wi-Fi architecture for AGVs and other mobile robots.…”

Section: Review Of Key Agv Application Technologies Agvs Design Reviewmentioning

confidence: 99%

“…Thus, in general, AMRs are an advanced [6] form of AGVs; and they can be integrated in a factory environment without any supporting infrastructure, such as wires, optical markers, magnets etc. An AGV often must navigate with the aid of supporting infrastructures while an AMR can autonomously navigate using only onboard intelligence [7]. In view of their wide range of uses and applications for smart manufacturing, AGVs and technologies that support them have been projected to generate close to $7 billion (USD) in revenue by the year 2022 [8].…”

Section: Introductionmentioning

confidence: 99%

A Review of Recent Advances in Automated Guided Vehicle Technologies: Integration Challenges and Research Areas for 5G-Based Smart Manufacturing Applications

et al. 2020

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In industrial environments, over several decades, Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) have served to improve efficiencies of intralogistics and material handling tasks. However, for system integrators, the choice and effective deployment of improved, suitable and reliable communication and control technologies for these unmanned vehicles remains a very challenging task. Specifics of communication for AGVs and AMRs imposes stringent performance requirements on latency and reliability of communication links which many existing wireless technologies struggle to satisfy. In this paper, a review of latest AGVs and AMRs research results in the past decade is presented. The review encompasses results from different past and present research domains of AGVs. In addition, performance requirements of communication networks in terms of their latencies and reliabilities when they are deployed for AGVs and AMRs coordination, control and fleet management in smart manufacturing environments are discussed. Integration challenges and limitations of present state-of-the-art AGV and AMR technologies when those technologies are used for facilitating AGV-based smart manufacturing and factory of the future applications are also thoroughly discussed. The paper also present a thorough discussion of areas in need of further research regarding the application of 5G networks for AGVs and AMRs fleet management in smart manufacturing environments. In addition, novel integration ideas by which tactile Internet, 5G network slicing and virtual reality applications can be used to facilitate AGV and AMR based factory of the future (FoF) and smart manufacturing applications were motivated.INDEX TERMS Intelligent factory, factory of the future, 5G, smart manufacturing, industry 4.0, autonomous industrial equipment, AGV, AMR, tactile Internet, virtual reality, lean manufacturing.

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Enabling Communication Technologies for Automated Unmanned Vehicles in Industry 4.0

Cited by 38 publications

References 25 publications

URLLC and eMBB in 5G Industrial IoT: A Survey

URLLC and eMBB in 5G Industrial IoT: A Survey

Softwarization of UAV Networks: A Survey of Applications and Future Trends

A Review of Recent Advances in Automated Guided Vehicle Technologies: Integration Challenges and Research Areas for 5G-Based Smart Manufacturing Applications

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