Fault-aware routing approach for mesh-based Network-on-Chip architecture

Gogoi, Ankur; Ghoshal, Bibhas; Manna, Kanchan

doi:10.1016/j.vlsi.2023.05.007

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…Enter the Internet of Things (IoT) -a revolutionary concept that envisions a future where everyday objects, equipped with sensors and connectivity, can communicate with each other over the internet. This digital interlinking of physical devices opens up a realm of possibilities, from smart fridges that notify you when you're out of milk, to city-wide systems that can dynamically manage traffic flow [5,6]. As we stand at the threshold of a new era, the importance of IoT in paving the way for advanced automation and smart management systems cannot be understated.…”

Section: Introductionmentioning

confidence: 99%

Traffic Congestion Detection and Alternative Route Provision Using Machine Learning and IoT-Based Surveillance

et al. 2023

JMC

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The Automated Dynamic Traffic Assignment (ADTA) system introduces a novel approach to urban traffic management, merging the power of IoT with machine learning. This research assessed the system's performance in comparison to traditional traffic management strategies across various real-world scenarios. Findings consistently showcased the ADTA's superior efficiency: during peak traffic, it reduced vehicle wait times by half, and in scenarios with unexpected road closures, congestion detection was almost five times quicker, rerouting traffic with a remarkable 95% efficiency. The system's adaptability was further highlighted during weather challenges, ensuring safer vehicle speeds and substantially reducing weather-induced incidents. Large-scale public events, known disruptors of traffic flow, witnessed significantly reduced backlogs under the ADTA. Moreover, emergency situations benefitted from the system's rapid response, ensuring minimal delays for critical vehicles. This research underscores the potential of the ADTA system as a transformative solution for urban traffic woes, emphasizing its scalability and real-world applicability. With its integration of innovative technology and adaptive mechanisms, the ADTA offers a blueprint for the future of intelligent urban transport management.

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Section: Introductionmentioning

confidence: 99%

Traffic Congestion Detection and Alternative Route Provision Using Machine Learning and IoT-Based Surveillance

et al. 2023

JMC

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On fractal cubic network graphs

Altintas Tankul,

Selcuk,

Turan

2025

Journal of Parallel and Distributed Computing

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Intelligent process migration in heterogeneous distributed systems

Marecos Brizuela,

La Red Martínez,

Agostini

et al. 2024

Comput. Artif. Intell.

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In distributed processing environments, multiple groups of processes are found sharing resources and competing for access. These processes may or may not require synchronization and it is essential to reach a consensus to manage access to resources in a way that establishes a strict order, thus ensuring mutual exclusion. The proposal presented is an innovative and effective solution for the management of shared resources in distributed systems, which allows solving problems related to overload and workload balancing. The evaluation of the state of computational loads and the final comparison using standard deviation are useful tools to detect and correct imbalances in the system. In addition, the possibility of establishing initial configurations of the algorithm for each particular situation allows adapting the solution to the specific needs of each system.

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Fault-aware routing approach for mesh-based Network-on-Chip architecture

Cited by 3 publications

References 24 publications

Traffic Congestion Detection and Alternative Route Provision Using Machine Learning and IoT-Based Surveillance

Traffic Congestion Detection and Alternative Route Provision Using Machine Learning and IoT-Based Surveillance

On fractal cubic network graphs

Intelligent process migration in heterogeneous distributed systems

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