A frequency-domain spoofing attack on FMCW radars and its mitigation technique based on a hybrid-chirp waveform
P Nallabolu, C Li - IEEE Transactions on Microwave Theory …, 2021 - ieeexplore.ieee.org
This article presents a novel spoofing device capable of injecting false target information into
a frequency-modulated continuous-wave (FMCW) radar. The spoofing device uses a radio …
a frequency-modulated continuous-wave (FMCW) radar. The spoofing device uses a radio …
A systematic survey on content caching in ICN and ICN-IoT: Challenges, approaches and strategies
CN Pruthvi, HS Vimala, J Shreyas - Computer Networks, 2023 - Elsevier
Context: Data traffic increased in recent years due to the expansion of IoT (Internet of
Things) applications, and most IoT applications follow a content-oriented paradigm. The host …
Things) applications, and most IoT applications follow a content-oriented paradigm. The host …
An AI-assisted smart healthcare system using 5G communication
Technology's fast growth has profoundly impacted myriad areas, including healthcare.
Implementing 5G networks offering high-speed and low-latency communication capabilities …
Implementing 5G networks offering high-speed and low-latency communication capabilities …
Synergies and Potential of Industry 4.0 and Automated Vehicles in Smart City Infrastructure
M Kaššaj, T Peráček - Applied Sciences, 2024 - mdpi.com
The integration of Industry 4.0 and automated vehicles into the smart cities concept is a
topical issue in the urbanization of cities and technological innovation within cities. As it is a …
topical issue in the urbanization of cities and technological innovation within cities. As it is a …
Smart Mobility in Smart Cities: Emerging challenges, recent advances and future directions
The world is witnessing a vivid race toward developing advanced solutions to enable smart,
fast, affordable and environment friendly mobility for Smart Cities inhabitants. This led to the …
fast, affordable and environment friendly mobility for Smart Cities inhabitants. This led to the …
Visualizing street pavement anomalies through fog computing v2i networks and machine learning
R Bustamante-Bello, A García-Barba, LA Arce-Saenz… - Sensors, 2022 - mdpi.com
Analyzing data related to the conditions of city streets and avenues could help to make
better decisions about public spending on mobility. Generally, streets and avenues are fixed …
better decisions about public spending on mobility. Generally, streets and avenues are fixed …
An overview of LiDAR requirements and techniques for autonomous driving
The most recent research and development efforts regarding autonomous driving have led
to the demand for competitive automotive-grade sensors, which must be capable of meeting …
to the demand for competitive automotive-grade sensors, which must be capable of meeting …
Adaptive on-ramp merging strategy under imperfect communication performance
X Tong, Y Shi, Q Zhang, S Chen - Vehicular Communications, 2023 - Elsevier
On-ramp merging is one of the important V2X (Vehicle-to-Everything) applications and is
critical for both driving safety and traffic efficiency. The ramp vehicle needs to get information …
critical for both driving safety and traffic efficiency. The ramp vehicle needs to get information …
Computing on wheels: A deep reinforcement learning-based approach
Future generation vehicles equipped with modern technologies will impose unprecedented
computational demand due to the wide adoption of compute-intensive services with …
computational demand due to the wide adoption of compute-intensive services with …
A novel collaborative IoD-assisted VANET approach for coverage area maximization
Internet of Drones (IoD) is an efficient technique that can be integrated with vehicular ad-hoc
networks (VANETs) to provide terrestrial communications by acting as an aerial relay when …
networks (VANETs) to provide terrestrial communications by acting as an aerial relay when …