A hybrid security strategy (HS2) for reliable video streaming in fog computing

Hussein, Shaimaa A.; Saleh, Ahmed I.; Mostafa, Hossam E.; Obaya, Marwa

doi:10.1007/s11276-019-02203-3

Cited by 3 publications

(4 citation statements)

References 26 publications

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“…Where R in eqn. (3) is the ratio between the total number of vehicles inside the lanes and the number of vehicles in particular lane. The green time at a particular lane indicated by which given by eqn.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…As a result, a developing strategy for solving these difficulties while using the newest technical advancements to make cities smart is required [1]. Fog is a new paradigm which allowed a real time communication and helpful on making a fast decision particularly on internet of things (IoT) applications [2,3]. By the time, the number of vehicles are growing rapidly and the traffic congestion issue become more urgent.…”

Section: Introductionmentioning

confidence: 99%

“…Cloud computing is also used in the protocols used to implement smart cities [5]. As a result, smart cities have had to deal with the limitations and drawbacks of cloud computing, such as location awareness, inconsistent latency, and a lack of mobility support [3]. Fog computing [2] provides a number of answers to these issues.…”

Section: Introductionmentioning

confidence: 99%

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A Fog Based Smart Traffic Management System

Hussein

Zaki

2022

Nile Journal of Communication and Computer Science

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Recently, urban mobility has become one of the most pressing issues in today's cities, and it must be addressed with caution. The exponential increase in the number of cars has a negative influence on the transportation system that most communities rely on. One of the most important aspects of transportation system is traffic control, which is reliant on a series of coordinated traffic lights. Smart traffic lights not only can receive and analyses the real time traffic data but also can help to alleviate traffic congestion by accurately predicting the waiting time for each traffic lane at the intersections. This can help to enhance traffic flow and, as a result, the overall performance of the transportation system. The proposed Smart Traffic System (STS) not only an automated IoT based traffic measuring system but it also calculates the ideal waiting time for each traffic lane. Calculating the optimal waiting time of each lane of the intersections can reduce the average waiting time. The objective is to provide accurately real-time traffic updates on traffic congestion according to the size of vehicles and their location relative to the traffic lights. Urgent cases for emergency vehicles also has been taken into consideration. Ultrasonic sensors and a lateral scanning approach are employed in the proposed STS which is suitable for using on real traffic roads in various roadway environments. STS adjusted to accurately measure traffic volumes according to the size of vehicles and their locations relative to the traffic light in real time. A prototype is implemented to evaluate the feasibility of the model. Simulation results show good accuracy in vehicles detection, low relative error in road occupancy estimation, the least delay, and highest throughput compared to other works.

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Section: Mathematical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Fog Based Smart Traffic Management System

Hussein

Zaki

2022

Nile Journal of Communication and Computer Science

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“…Since steganography and cryptography have their own advantages, Hussein et al embedded important data into overlay digital media by using steganography and used cryptography to encrypt data into a meaningless form [1]. Local brand is a part of city brand research, and it is also a part that should be strengthened in urban planning and city image construction.…”

Section: Introductionmentioning

confidence: 99%

Communication Strategy of Urban Media Image Based on Global Discretization

Zhao

2022

Mathematical Problems in Engineering

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With the advent of the era of global economic integration, more and more cities are involved in the increasingly fierce competition in the form of image dissemination in order to obtain better economic benefits. The choice of media for this city to carry out image communication has become an inevitable choice for the survival and development of the city. However, since the effect of the current urban media image dissemination is not too ideal, in order to promote the dissemination and development of urban media image, this study made use of global discretization, which is widely used, to study the urban media image dissemination strategy. The research results prove that it is very important to combine global discretization and urban media image for development. Because, the combination of the two can improve the dissemination efficiency and effectiveness of the city’s media image to the greatest extent, enhance the city’s global popularity and competitiveness, and drive a large flow of capital and high-quality talents to the city. In order to obtain greater economic benefits in the wave of global economic integration and to stand out in the increasingly competitive urban environment, a firm foothold is gained in the global economy.

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Journey from cloud of things to fog of things: Survey, new trends, and research directions

et al. 2022

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With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer satisfactory services for latency-sensitive and real-time applications due to high latency and scalability issues. Hence, an emerging computing paradigm named as fog/edge computing was evolved, to offer services close to the data source and optimize the quality of services (QoS) parameters such as latency, scalability, reliability, energy, privacy, and security of data. This article presents the evolution in the computing paradigm from the client-server model to edge computing along with their objectives and limitations. A state-of-the-art review of Cloud Computing and Cloud of Things (CoT) is presented that addressed the techniques, constraints, limitations, and research challenges. Further, we have discussed the role and mechanism of fog/edge computing and Fog of Things (FoT), along with necessitating amalgamation with CoT. We reviewed the several architecture, features, applications, and existing research challenges of fog/edge computing. The comprehensive survey of these computing paradigms offers the depth knowledge about the various aspects, trends, motivation, vision, and integrated architectures. In the end, experimental tools and future research directions are discussed with the hope that this study will work as a stepping-stone in the field of emerging computing paradigms. K E Y W O R D Scloud computing, internet of things, cloud of things, fog computing, latency INTRODUCTIONDifferent computing paradigms have evolved over the decades as per the needs in various situations. The concept of the Cloud computing paradigm has evolved from distributed systems and it has gained attention by offering a plethora of services to end-users anywhere and anytime on pay per use basis. It has also become the business model in the last decade due to well-known characteristics like scalability, multi-tenant environment, virtualization, and resource pooling. It is observed that a large number of industries, government, as well as private organization, have shifted their applications and data to the cloud platform. Further, the Cloud is also playing a significant role in the advancement of Internet of Things (IoT) applications. As per the transformation and movement in ubiquitous computing, we need the integration

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A hybrid security strategy (HS2) for reliable video streaming in fog computing

Cited by 3 publications

References 26 publications

A Fog Based Smart Traffic Management System

A Fog Based Smart Traffic Management System

Communication Strategy of Urban Media Image Based on Global Discretization

Journey from cloud of things to fog of things: Survey, new trends, and research directions

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