Smart‐city medium access for smart mobility applications in Internet of Things

Al‐Turjman, Fadi

doi:10.1002/ett.3723

Cited by 17 publications

(8 citation statements)

References 25 publications

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“…Al-Turjman [ 27 ] handled the wireless medium access problem under rapid mobility in smart cities. The resulting framework uses LTE (Long Term Evolution), while improving the QoS of mobile applications.…”

Section: Related Workmentioning

confidence: 99%

A Comparative Study of Traffic Classification Techniques for Smart City Networks

AlZoman

Alenazi

2021

Sensors

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Smart city networks involve many applications that impose specific Quality of Service (QoS) requirements, thus representing a challenging scenario for network management. Solutions aiming to guarantee QoS support have not been deployed in large-scale networks. Traffic classification is a mechanism used to manage different aspects, including QoS requirements. However, conventional traffic classification methods, such as the port-based method, are inefficient because of their inability to handle dynamic port allocation and encryption. Traffic classification using machine learning has gained research interest as an alternative method to achieve high performance. In fact, machine learning embeds intelligence into network functions, thus improving network management. In this study, we apply machine learning algorithms to predict network traffic classification. We apply four supervised learning algorithms: support vector machine, random forest, k-nearest neighbors, and decision tree. We also apply a port-based method of traffic classification based on applications’ popular assigned port numbers. Then, we compare the results of this method to those obtained from the machine learning algorithms. The evaluation results indicate that the decision tree algorithm provides the highest average accuracy among the evaluated algorithms, at 99.18%. Moreover, network traffic classification using machine learning provides more accurate results and higher performance than the port-based method.

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Section: Related Workmentioning

confidence: 99%

A Comparative Study of Traffic Classification Techniques for Smart City Networks

AlZoman

Alenazi

2021

Sensors

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“…Of course, the study presented in this article can be generalized for implementing many other real‐life scenarios, such as drones' communication in a mission‐critical scenario, 64 as well as for smart mobility applications in smart cities (ie, where containers can effectively perform on the server‐side to ensure quick computations of data with high efficiency and very minimal delay) 65 …”

Section: Cross‐comparison and Performance Assessmentmentioning

confidence: 99%

A quantitative cross‐comparison of container networking technologies for virtualized service infrastructures in local computing environments

Shah

Piro

Grieco

et al. 2021

Trans Emerging Tel Tech

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Container networking is emerging as a game‐changer paradigm for the deployment of virtualized service infrastructures in a faster and reliable way. Nevertheless, small and medium enterprises (SMEs) are still skeptical to revise their business in this direction because of the absence of deep studies showing its effectiveness in real deployments leveraging local computing environments. To bridge this gap, this article presents a quantitative cross‐comparison of cutting‐edge technologies for container networking (including Docker as a container engine, Docker Swarm and Kubernetes as orchestrators, bare‐metal and OpenStack cloud as deployment platform), properly integrated to realize a virtualized service infrastructure within a commercial workstation. Initial experimental tests are conducted to identify the most suitable combination of technologies for high‐load environments, where many clients contact the virtualized service infrastructure to download files of large size. Obtained results demonstrate that the combination of Docker and Kubernetes generally ensures better performance on the bare‐metal deployment platform, thus emerging as mature and effective solutions to be used by SMEs. Finally, the behavior of the identified virtualized service infrastructure is also evaluated in a smart farm use case, where containers are in charge of processing images provided by mobile drones for monitoring purposes. In addition, in this case, the conducted study highlights the promising capability offered by container networking in real deployments, exploiting local computing environments.

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“…Al-Turjman et al, 36 introduced the standardized Long Term Evolution in modern mobile applications while improving the service quality (QoS). It reduces the transmission delays and error detection in smart real-time applications and retains the highest network performance by improved medium access protocol.…”

Section: Related Workmentioning

confidence: 99%

Replication‐aware secure resource administration scheme for Internet of Things‐smart city applications

Solami

2021

Trans Emerging Tel Tech

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The distributed and heterogeneous nature of the Internet of Things (IoT) paradigm provides backhauled support for different smart-city applications. As it provides ubiquitous access to resources and replicated services, the threat for security remains firm for different applications. The concept of cybersecurity in the IoT-smart-city combination grants promising outcomes in securing the physical and service-centric resources from external threats. This article proposes to improve the protection of the IoT services in smart-city applications using replication-aware secure resource administration scheme framework. In a smart city application, which involves a cloud, based network, IoT platform, and distributed sensor networks guarantees differentiated protection mechanisms for replicated and non-replicated infrastructure. Instantly revocable security activities are used to prevent unintended attacks to the original resource supplier from monitoring non-replicated services. For this purpose, Naïve Bayes' diffusion approach is used to continuously evaluate the likelihood of disclosure of the repeated and unreplicated properties. The hazard and level of exposure for which prompted protection is assessed using the recommendations of the delivery system. The promptness of the security outcome is based on re-formulating permission delegations, security checks, and so on. This helps to leverage the security level of the available resources irrespective of the impact of the external threats. Besides, the proposed scheme improves the lifetime of the services with controlled overhead and service failures.

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Smart‐city medium access for smart mobility applications in Internet of Things

Cited by 17 publications

References 25 publications

A Comparative Study of Traffic Classification Techniques for Smart City Networks

A Comparative Study of Traffic Classification Techniques for Smart City Networks

A quantitative cross‐comparison of container networking technologies for virtualized service infrastructures in local computing environments

Replication‐aware secure resource administration scheme for Internet of Things‐smart city applications

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