Secure and scalable edge computing framework for IoT-enabled urban mobility systems

Authors

https://doi.org/10.22105/sci.v2i4.51

Abstract

The demand for efficient urban mobility systems has increased interest in distributed Internet of Things (IoT) applications. Edge computing is a pivotal solution that processes data closer to IoT devices, optimizes real-time responses, and reduces dependency on centralized servers. This paper explores the role of edge computing in urban mobility solutions, focusing on traffic flow optimization, Vehicle-to-Vehicle (V2V) communication, and load distribution among IoT devices. Using edge nodes for decentralized processing enables faster decision-making and reduces network congestion in smart cities. We evaluate the benefits and challenges of edge computing in IoT-based mobility systems and propose frameworks to enhance system scalability and reliability. Our findings reveal that edge computing supports real-time data processing, cost-efficient operations, and scalable urban mobility solutions for future smart cities.

 

Keywords:

Edge computing, Internet of things, Urban mobility, Decentralized processing, Smart city

References

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Published

2025-12-25

Issue

Vol. 2 No. 4 (2025): Smart City Insights

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Articles

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How to Cite

Pourqasem, J., & Wang, M. (2025). Secure and scalable edge computing framework for IoT-enabled urban mobility systems. Smart City Insights, 2(4), 214-222. https://doi.org/10.22105/sci.v2i4.51

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