Analytical Model of Enhancing Traffic Performance Based on Weighted Nodes

Hadi, Anas A.; Abdulkader, Omar; AL-ardhi, Saleh; Thayananthan, Vijey

doi:10.1109/uksim.2016.28

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…Through this approach, big data used in smart transportation systems could be secured with energy-efficient security protocols. In order to improve the data traffic performance, network traffic analysis [22][23][24] is one of the evaluation mechanisms used for securing data communication within the smart transport of the new smart cities.…”

Section: Fig 3: Transportation Facilities With Iot Based 5g Networkmentioning

confidence: 99%

Internet of Things based 5G Infrastructure for Securing Transportation Facilities in Smart Cities

Thayananthan¹,

Algarni²

2019

IJCA

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The fifth generation (5G) is going to dominate in the smart cities where 5G provides all the facilities with maximum security and safety. Regarding transportation services, unnecessary accidents rates are increasing with cyber attacks and threats. All security issues for 5G based infrastructure will be facing many challenges such as secure transportation services which is one of the 2030 initiatives in many countries. Despite many security solutions, developing energy-efficient cryptographic algorithms are recommended to secure the future transport systems which not only improve the security but also reduce the cost. The main aim of this strategic research is to develop a secure transportation system using efficient security solutions which not only reduce the exorbitant accident rates but also increase safety system that enhances the livability of smart cities. Employing secure multi-level IoT and 5G based infrastructure used within the transportation systems will be an efficient method. In this system, appropriate applied cryptographic algorithms will be employed to improve transportation services. According to the research idea of this project, the proposed model of the future transportation system will be delivered with better security solutions. In expected results, the dynamic security solutions will be considered. They are vital requirements to minimize accidents and secure smart cities. This research will be leading us to implement an effective security solution for future transport systems. Therefore, each passenger who is driving or using driverless vehicles will be protected from the evolving attacks within the smart cities. General TermsIn this paper, the security of the transport service as a general term is considered. Throughout this research, security issues of IoT based 5G are considered to improve the security solutions of transportation facilities

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Section: Fig 3: Transportation Facilities With Iot Based 5g Networkmentioning

confidence: 99%

Internet of Things based 5G Infrastructure for Securing Transportation Facilities in Smart Cities

Thayananthan¹,

Algarni²

2019

IJCA

Self Cite

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A Theoretical Architecture for TM Through Software Defined Mobile Network in 5G Environments

Alshaflut

Thayananthan

2018

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Cyclical Trends of Network Load Fluctuations in Traffic Jamming

Tadić

2022

Dynamics

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The transport of information packets in complex networks is a prototype system for the study of traffic jamming, a nonlinear dynamic phenomenon that arises with increased traffic load and limited network capacity. The underlying mathematical framework helps to reveal how the macroscopic jams build-up from microscopic dynamics, depending on the posting rate, navigation rules, and network structure. We investigate the time series of traffic loads before congestion occurs on two networks with structures that support efficient transport at low traffic or higher traffic density, respectively. Each node has a fixed finite queue length and uses next-nearest-neighbour search to navigate the packets toward their destination nodes and the LIFO queueing rule. We find that when approaching the respective congestion thresholds in these networks, the traffic load fluctuations show a similar temporal pattern; it is described by dominant cyclical trends with multifractal features and the broadening of the singularity spectrum regarding small-scale fluctuations. The long-range correlations captured by the power spectra show a power-law decay with network-dependent exponents. Meanwhile, the short-range correlations dominate at the onset of congestion. These findings reveal inherent characteristics of traffic jams inferred from traffic load time series as warning signs of congestion, complementing statistical indicators such as increased travel time and prolonged queuing in different transportation networks.

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Analytical Model of Enhancing Traffic Performance Based on Weighted Nodes

Cited by 4 publications

References 13 publications

Internet of Things based 5G Infrastructure for Securing Transportation Facilities in Smart Cities

Internet of Things based 5G Infrastructure for Securing Transportation Facilities in Smart Cities

A Theoretical Architecture for TM Through Software Defined Mobile Network in 5G Environments

Cyclical Trends of Network Load Fluctuations in Traffic Jamming

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