Traffic modelling of smart city internet of things architecture

Ibrahim, Amin S.; Youssef, Khaled Y.; Kamel, Hesham M.; Abouelatta, Mohamed

doi:10.1049/iet-com.2019.1252

Cited by 18 publications

(15 citation statements)

References 12 publications

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“…• The sensor layer is designed to develop several scenarios related to smart city use cases from different perspectives as safety, security, energy, and environment. Table 1 shows the sensors used in an experimental study [18][19][20].…”

Section: Methodsmentioning

confidence: 99%

“…Each scenario network has two or three connected IoT nodes with the TCP/IP connection protocol. The paper examines the human safety scenario nodes specifically scenario 3 (fire-node, smoke-node) and cloud scenario (fire-node and webserver) that is presented in the classical smart city networks [20]. A set of experiments are designed to emulate the traffic patterns associated with each type of traffic aggregation either the space domain attribute or the time domain attribute, compared to that before (without) the aggregation process [20].…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Traffic Aggregation Techniques for Optimizing IoT Networks

Ibrahim¹,

Youssef²,

Abouelatta³

2021

Adv. sci. technol. eng. syst. j.

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Internet of Things (IoT) is changing the world through a new wave of revolution for communications technologies that are no more limited to the human being. One of the main challenges that result from the exponential spread of IoT technology is the difference in the traffic characteristics between classical human communications and advanced things communications. The IoT traffic characteristics become essential for understanding and studying the parameters affecting the IoT traffic shape and thus all further studies related to traffic aggregation, topologies, and architecture designs. In this paper, a traffic aggregation in both the space domain and time domain is proposed whereas a matrix of traffic parameters is analyzed and simulated through building a practical lab case study to demonstrate the theoretical results. It is proven that the two proposed aggregation techniques could impact the traffic profile shaping existing IoT use cases for optimizing the network efficiency from several perspectives as 20% high throughput gain, 45% low collision probability, network congestion is limited to 800~1600 packets in the space domain and about 300~20 packets in the time domain, and overheads are minimized by about 50~27 Kbytes in the space domain and 9.5~0.59 Kbytes in the time domain.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Traffic Aggregation Techniques for Optimizing IoT Networks

Ibrahim¹,

Youssef²,

Abouelatta³

2021

Adv. sci. technol. eng. syst. j.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Finally, the authors identify and discuss some of the required research issues. Ibrahim et al [224] proposed an enhanced ON/OFF traffic demonstrating innovation that can display IoT information qualities of different applications (particularly smart city IoT). New displaying strategies arrange and investigate the qualities of IoT smart city use cases into five significant examples.…”

Section: Picon Et Al [97] Conducted Contextual Investigations Into To...mentioning

confidence: 99%

A Decade Review on Smart Cities: Paradigms, Challenges and Opportunities

et al. 2022

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Smart City has been an emerging research domain for Government, Businesses, and researchers in the last few years. The Indian government is also interested and investing lots of funds to develop smart cities. These cities are technology-based and require interdisciplinary research and development for successful implementation. Over the last few decades, various technological interventions have created a tendency to provide smart everyday objects to make human life more comfortable. The emergence of the smart city paradigm is a response to creating a future city that guarantees the well-being and rights of its citizens from the perspective of industrial development: industry, urban planning, environment, and sustainable development. There are several subdomains in the smart city for the research. To work with the different subdomains in a smart city, proper guidance about the background of the smart city is required. This research paper is a guide for the same. This research paper represents a systematic literature review of the smart city domain. This paper carries out a systematic review of research papers published in various well-reputed journals like IEEE, Springer, Elsevier, etc., between 2011 and. This paper will help the government, businesses, and researchers aiming to enhance the smart city concept. Initially, this paper discusses the origin and emergence of this concept, followed by a few definitions and characteristics with the real roadmap and primary supporting pillars of the smart city. This paper discusses a typical architecture having different layers like Sensing, Transportation, Data Management, and Application Layers. There are various supporting technologies and platforms for the smart city; hence implementations are impossible without these technologies and media. This research paper discusses different components of the smart city. A broad literature survey is being done to observe various challenges, opportunities, and future trends in the smart city. This research paper can guide the researchers and provide the research direction in the smart city domain.

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“…In recent decades, virtual reality (VR) related techniques [ 3 , 4 ] have been extensively exploited in a plethora of applications [ 5 ] ranging from industrial manufacturing [ 6 ], healthcare [ 7 ], entertainment [ 8 , 9 ], and education [ 10 , 11 ]. Meanwhile, different types of Internet of things (IoT) have also been deployed in practice [ 12 ], e.g., commercial and industrial scenarios [ 13 , 14 ], medical assistance [ 15 ], and smart cities [ 16 ]. Both of them have shown their capacity and potential value in multidisciplinary tasks.…”

Section: Introductionmentioning

confidence: 99%

Virtual Reality and Internet of Things-Based Music Online Learning via the Graph Neural Network

Lian

Zhou

Han³

et al. 2022

Computational Intelligence and Neuroscience

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Virtual reality and the Internet of Things have shown their capability in a variety of tasks. However, their availability in online learning remains an unresolved issue. To bridge this gap, we propose a virtual reality and Internet of Things-based pipeline for online music learning. The one graph network is used to generate an automated evaluation of learning performance which traditionally was given by the teachers. To be specific, a graph neural network-based algorithm is employed to identify the real-time status of each student within an online class. In the proposed algorithm, the characteristics of each student collected from the multisensors deployed on their bodies are taken as the input feature for each node in the presented graph neural network. With the adoption of convolutional layers and dense layers as well as the similarity between each pair of students, the proposed approach can predict the future circumstance of the entire class. To evaluate the performance of our work, comparison experiments between several state-of-the-art algorithms and the proposed algorithm were conducted. The result from the experiments demonstrated that the graph neural network-based algorithm achieved competitive performance (sensitivity 91.24%, specificity 93.58%, and accuracy 89.79%) over the state-of-the-art.

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Traffic modelling of smart city internet of things architecture

Cited by 18 publications

References 12 publications

Traffic Aggregation Techniques for Optimizing IoT Networks

Traffic Aggregation Techniques for Optimizing IoT Networks

A Decade Review on Smart Cities: Paradigms, Challenges and Opportunities

Virtual Reality and Internet of Things-Based Music Online Learning via the Graph Neural Network

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