Smart vehicular traffic management: An edge cloud centric IoT based framework

Sahil,; Sood, Sandeep K.

doi:10.1016/j.iot.2019.100140

Cited by 25 publications

(6 citation statements)

References 21 publications

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“…As the result of various quality of service issues in cloud-IoT environment, the recent advancements of distributed computing in the form of fog computing and its application in diverse domains viz. disaster management [35], agriculture [17], transportation [33], security [1,4], and alike, have also motivated the utilization of fog computing in healthcare domain too. In this regard, Dautov et al [14] had discussed the requirement of processing data at the edge devices for better service provisioning in the Cloud-IoT environment.…”

Section: Fog Computingmentioning

confidence: 99%

An intelligent healthcare system for predicting and preventing dengue virus infection

Sood

Mahajan

et al. 2021

Computing

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Section: Fog Computingmentioning

confidence: 99%

An intelligent healthcare system for predicting and preventing dengue virus infection

Sood

Mahajan

et al. 2021

Computing

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“…According to [36], cloud-based solutions play a crucial role in the administration and control of traffic. Preserving the confidentiality of traffic data, specifically pertaining to real-time vehicle flow and congestion information, is of utmost importance in order to mitigate any malevolent actions that may impede the transportation network or compromise public safety.…”

Section: Confidentialitymentioning

confidence: 99%

Protecting Data and Privacy: Cloud-based Solutions for Intelligent Transportation Applications

Singha,

Singha

2023

SCPE

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The interaction between transportation networks and intelligent transportation systems has been revolutionized by cloud computing. However, the reliance on cloud-based solutions raises security and privacy concerns. This article examines the challenges of safeguarding data and privacy in intelligent transportation applications and emphasizes the potential of cloud-based solutions to resolve these issues. Organizations can protect sensitive data and user privacy by employing encryption, access controls, threat detection mechanisms, and privacy protection measures. Adopting these cloud-based solutions will encourage the extensive adoption of intelligent transportation applications while infusing users and stakeholders with confidence.

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“…The immersive VR helps students to see, hear, and do and offers a realistic learning environment that significantly improves knowledge and improve retention. Advances in wireless networking technologies and their assimilation on the internet of things and in the areas of smart equipment and mobile devices such as emergency management (Muhammad et al, 2020), healthcare (Gia et al, 2019), transportation (Sahil & Sood, 2019), automation (Bui et al, 2020), industry (Angrisani et al, 2020), and e-learning solutions (Sood & Singh, 2018). Integrating the IoT network with cloud computing has improved the ability of these intelligent things and moving devices to store and compute them remotely.…”

Section: Motivationsmentioning

confidence: 99%

Fog‐assisted virtual reality‐based learning framework to control panic

Sood

Rawat

2021

Expert Systems

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The biggest challenges for several universities and educational institutions throughout the COVID‐19 pandemic are online and e‐learning infrastructure availability. The incorporation of Information and Communication Technologies in the domain of disaster management is one such dimension, which focuses on the sustainability of human beings regarding the handling of unexpected pandemics. Therefore, it is important to evaluate the panic well‐being of the student in this situation. Moreover, virtual reality technology provides a virtual classroom environment that improves the skill and knowledge of the students at remote sites. In this paper, a fog‐assisted cyber physical system is proposed that deals with the various aspects of the panic well‐being of the student, including the virtual reality platform for remote learning. The proposed system utilizes the concepts of physical and cyberspace. The physical space facilitates real‐time data acquisition, and cyberspace determines and predicts the panic well‐being of the student. The performance assessment of the proposed model acknowledges the efficiency of the virtual learning system and panic well‐being determination and prediction. The proposed system also discussed a virtual learning system that provides a virtual classroom environment to the students at remote sites and reduces the panic due to stressful times during the COVID‐19 pandemic.

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Smart vehicular traffic management: An edge cloud centric IoT based framework

Cited by 25 publications

References 21 publications

An intelligent healthcare system for predicting and preventing dengue virus infection

An intelligent healthcare system for predicting and preventing dengue virus infection

Protecting Data and Privacy: Cloud-based Solutions for Intelligent Transportation Applications

Fog‐assisted virtual reality‐based learning framework to control panic

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