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Securing IoT Devices in Smart Cities: A Review of Proposed Solutions
Andr\'es F. Betancur-L\'opez
https://arxiv.org/abs/2510.01445 https://arxiv.or…

Securing IoT Devices in Smart Cities: A Review of Proposed Solutions
Privacy and security in Smart Cities remain at constant risk due to the vulnerabilities introduced by Internet of Things (IoT) devices. The limited computational resources of these devices make them especially susceptible to attacks, while their widespread adoption increases the potential impact of security breaches. This article presents a review of security proposals aimed at protecting IoT devices in Smart City environments. The review was conducted by analyzing recent literature on device-l…

Runtime Composition in Dynamic System of Systems: A Systematic Review of Challenges, Solutions, Tools, and Evaluation Methods
Muhammad Ashfaq, Ahmed R. Sadik, Teerath Das, Muhammad Waseem, Niko Makitalo, Tommi Mikkonen
https://arxiv.org/abs/2510.12616

Runtime Composition in Dynamic System of Systems: A Systematic Review of Challenges, Solutions, Tools, and Evaluation Methods
Context: Modern Systems of Systems (SoSs) increasingly operate in dynamic environments (e.g., smart cities, autonomous vehicles) where runtime composition -- the on-the-fly discovery, integration, and coordination of constituent systems (CSs)--is crucial for adaptability. Despite growing interest, the literature lacks a cohesive synthesis of runtime composition in dynamic SoSs. Objective: This study synthesizes research on runtime composition in dynamic SoSs and identifies core challenges, solu…

A Data-Driven Framework for Digital Transformation in Smart Cities: Integrating AI, Dashboards, and IoT Readiness
\'Angel Lloret, Jes\'us Peral, Antonio Ferr\'andez, Mar\'ia Auladell, Rafael Mu\~noz
https://arxiv.org/abs/2509.22721

A Data-Driven Framework for Digital Transformation in Smart Cities: Integrating AI, Dashboards, and IoT Readiness
Digital transformation (DT) has become a strategic priority for public administrations, particularly due to the need to deliver more efficient and citizen-centered services and respond to societal expectations, ESG (Environmental, Social, and Governance) criteria, and the United Nations Sustainable Development Goals (UN SDGs). In this context, the main objective of this study is to propose an innovative methodology to automatically evaluate the level of digital transformation (DT) in public sec…

Smart Routing for EV Charge Point Operators in Mega Cities: Case Study of Istanbul
Onur Yenigun, Gozde Karatas Baydogmus, Kazim Yildiz
https://arxiv.org/abs/2509.21369 https://

Smart Routing for EV Charge Point Operators in Mega Cities: Case Study of Istanbul
The rapidly increasing use of electric vehicles (EVs) has made it even more important to manage the charging infrastructure sustainably. The expansion of charging station networks, especially in large cities, creates serious logistical challenges for charging point operators (CPOs) in planning maintenance and repair activities. Inefficient field personnel management can lead to time loss, high operational costs, and resource waste. This study presents an integrated method to optimize the planni…

The Role of ISAC in 6G Networks: Enabling Next-Generation Wireless Systems
Muhammad Umar Farooq Qaisar, Weijie Yuan, Onur G\"unl\"u, Taneli Riihonen, Yuanhao Cui, Lin Zhang, Nuria Gonzalez-Prelcic, Marco Di Renzo, Zhu Han
https://arxiv.org/abs/2510.04413

The Role of ISAC in 6G Networks: Enabling Next-Generation Wireless Systems
The commencement of the sixth-generation (6G) wireless networks represents a fundamental shift in the integration of communication and sensing technologies to support next-generation applications. Integrated sensing and communication (ISAC) is a key concept in this evolution, enabling end-to-end support for both communication and sensing within a unified framework. It enhances spectrum efficiency, reduces latency, and supports diverse use cases, including smart cities, autonomous systems, and p…

Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models
Prashanthi S. K., Sai Anuroop Kesanapalli, Yogesh Simmhan
https://arxiv.org/abs/2509.20160

Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models
Deep Neural Networks (DNNs) have had a significant impact on domains like autonomous vehicles and smart cities through low-latency inferencing on edge computing devices close to the data source. However, DNN training on the edge is poorly explored. Techniques like federated learning and the growing capacity of GPU-accelerated edge devices like NVIDIA Jetson motivate the need for a holistic characterization of DNN training on the edge. Training DNNs is resource-intensive and can stress an edge's…

Semantic Edge-Cloud Communication for Real-Time Urban Traffic Surveillance with ViT and LLMs over Mobile Networks
Murat Arda Onsu, Poonam Lohan, Burak Kantarci, Aisha Syed, Matthew Andrews, Sean Kennedy
https://arxiv.org/abs/2509.21259

Semantic Edge-Cloud Communication for Real-Time Urban Traffic Surveillance with ViT and LLMs over Mobile Networks
Real-time urban traffic surveillance is vital for Intelligent Transportation Systems (ITS) to ensure road safety, optimize traffic flow, track vehicle trajectories, and prevent collisions in smart cities. Deploying edge cameras across urban environments is a standard practice for monitoring road conditions. However, integrating these with intelligent models requires a robust understanding of dynamic traffic scenarios and a responsive interface for user interaction. Although multimodal Large Lan…

M&SCheck: Towards a Checklist to Support Software Engineering Newcomers to the Modeling and Simulation Area
Luiza Martins de Freitas Cintra, Philipp Zech, Mohamad Kassab, Eliomar Ara\'ujo Lima, Sofia Larissa da Costa Paiva, Valdemar Vicente Graciano Neto
https://arxiv.org/abs/2509.25625

M&SCheck: Towards a Checklist to Support Software Engineering Newcomers to the Modeling and Simulation Area
The advent of increasingly complex and dynamic ecosystems, such as digital twins (DT), smart cities and Industry 4.0 and 5.0, has made evident the need to include modeling and simulation (M&S) in the software development life cycle. Such disruptive systems include simulation models in their own architecture (such as DT) or require the use of simulation models to represent the high degree of movement and the multiplicity of interactions that occur between the involved systems. However, when soft…

Replaced article(s) found for cs.NE. https://arxiv.org/list/cs.NE/new
[1/1]:
- Smart Routing for EV Charge Point Operators in Mega Cities: Case Study of Istanbul
Onur Yenigun, Gozde Karatas Baydogmus, Kazim Yildiz

Joint Hybrid Beamforming and Artificial Noise Design for Secure Multi-UAV ISAC Networks
Runze Dong, Buhong Wang, Cunqian Feng, Jiang Weng, Chen Han, Jiwei Tian
https://arxiv.org/abs/2509.23687

Joint Hybrid Beamforming and Artificial Noise Design for Secure Multi-UAV ISAC Networks
Integrated sensing and communication (ISAC) emerges as a key enabler for next-generation applications such as smart cities and autonomous systems. Its integration with unmanned aerial vehicles (UAVs) unlocks new potentials for reliable communication and precise sensing in dynamic aerial environments. However, existing research predominantly treats UAVs as aerial base stations, overlooking their role as ISAC users, and fails to leverage large-scale antenna arrays at terrestrial base stations to …