Estimating data traffic through software-defined multiple access for IoT applications over 5G networks

Alshaflut, Ahmed; Thayananthan, Vijey

doi:10.1109/lt.2018.8368486

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…For example, factories can capture data related to their production, such as the availability of resources, the amount of products expected to be delivered, or the amount of available space in a distribution warehouse, which fits well with the Industry 4.0 concept [46][47][48]. Thanks to the efficient communication, multiple devices can communicate with each other, with a higher-level management system or with the cloud, but also process data within process controllers, which is in line with the Edge Computing concept [49]. As shown in [50], Machine-to-Machine (M2M) communication and the surrounding infrastructure in Intelligent Transport Systems (ITS) play an important role in solving problems, such as road congestion, road accidents, and high fuel consumption of vehicles.…”

Section: Usage Of 5g Networkmentioning

confidence: 90%

Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication

et al. 2021

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This article deals with automated urban traffic management, and proposes a new comprehensive infrastructure solution for dynamic traffic direction switching at intersection lines. It was assumed that the currently used solutions based on video monitoring are unreliable. Therefore, the Radio Frequency IDentification (RFID) technique was introduced, in which vehicles are counted and, if necessary, identified in order to estimate the flows on individual lanes. The data is acquired in real time using fifth-generation wireless communications (5G). The Pots and Ising models derived from the theory of statistical physics were used in a novel way to determine the state of direction traffic lights. The models were verified by simulations using data collected from real traffic observations. The results were presented for two exemplary intersections.

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Section: Usage Of 5g Networkmentioning

confidence: 90%

Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication

et al. 2021

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“…However, this promise results in more network requirements. Although 5G requirements allow us to handle more traffic, all types of network traffic are increasing with the number of users [34]. Thus, it is necessary to maintain the network's resources to satisfy the unlimited growth of 5G networks.…”

Section: Challengesmentioning

confidence: 99%

Improvement of 5G Transportation Services with SDN-Based Security Solutions and beyond 5G

Algarni

Thayananthan

2021

Electronics

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The transportation industries forecast that by 2050 more than 50% of vehicles on the road will be autonomous vehicles, and automotive services will dynamically support all vehicles. All of them will be serviced using the latest technology, which includes the Software Defined Network (SDN) and available new generations (5G+ or 6G) at the time. Although many transportation services and rapid facilities are achievable dynamically, transportation services with automation and intelligent actions are still not mature because the legacy of transport services cannot be corporate with the 5G+. These expected problems can be improved through the following possible and manageable approaches: flexible framework of 5G automotive services from the legacy systems, designing energy-efficient and intelligent infrastructures with SDN, and managing security solutions that evolve with the emerging technology. An efficient model (flexible framework) is proposed to secure smart transportation services with a secure and intelligent connected system and security solutions based on the 5G concept. Although 5G is considered in this framework, the method and steps of design and solution phases will be adaptable to the 5G+ framework. Furthermore, the basic properties of SDN allowed us to design a novel approach for measuring data traffic related to transport services and transport management, such as the priority of the transportation services. With the emergence of 5G+ capabilities, transportation services expect more challenges through future user requirements, including dynamic security solutions, minimum latency, maximum energy efficiency (EE), etc. Future automotive services depend on many sensors and their messages received through secure communication systems with 5G+ capabilities. As a result, this theoretical model will prove that 5G capabilities provide security facilities, better latency, and EE within the transportation system. Moreover, this model can be extendable to improve the 5G+ transportation services.

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Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning

Pawłowicz

Salach

Trybus

2018

Advances in Intelligent Systems and Computing

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Estimating data traffic through software-defined multiple access for IoT applications over 5G networks

Cited by 5 publications

References 22 publications

Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication

Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication

Improvement of 5G Transportation Services with SDN-Based Security Solutions and beyond 5G

Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning

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