Pasquale Pace

Assistant Professor

University of Calabria

Italy

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About

Pasquale Pace is an Assistant Professor at Università degli Studi della Calabria, Italy. His research focuses on multi-objective algorithms for task offloading in MEC-assisted vehicular networks, reinforcement learning applications for spectrum access, and data collection strategies in UAV-assisted IoT systems. His recent articles examine topics such as cooperative data collection, dynamic geohazard importance levels, and the resilience of cyber-manufacturing systems to cascading failures.

Articles (14)

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2025

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2025

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2025

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2025

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (2)

Giancarlo Fortino

Full Professor

University of Calabria

ITALY

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Gianluca Aloi

Assistant Professor

University of Calabria

ITALY

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Pasquale Pace

Research Interests

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About

Articles (14)

An Efficient Collaborative Task Offloading Approach Based on Multi-Objective Algorithm in MEC-Assisted Vehicular Networks

Recurrent Flash Reinforcement Learning for Dynamic Spectrum Access and Power Control

Low-AoI Data Collection for UAV-Assisted IoT With Dynamic Geohazard Importance Levels

Many-Objective Computation Offloading in Vehicular Edge Computing Using Bayesian and Incremental Learning Methods

Reinforcement Learning-Based Low-Delay Data Collection in UAV-Assisted IoT for Secondary Geological Hazard Monitoring

Collaborative Data Acquisition for UAV-Aided IoT Based on Time-Balancing Scheduling

Cooperative Data Collection for UAV-Assisted Maritime IoT Based on Deep Reinforcement Learning

Tolerance Analysis of Cyber-Manufacturing Systems to Cascading Failures

Cascade Failures Analysis of Internet of Things Under Global/Local Routing Mode

IoT Platforms and Security: An Analysis of the Leading Industrial/Commercial Solutions

Toward robust and energy-efficient clustering wireless sensor networks: A double-stage scale-free topology evolution model

Jamming detection at the edge of drone networks using Multi-layer Perceptrons and Decision Trees

Clustering-Learning-Based Long-Term Predictive Localization in 5G-Envisioned Internet of Connected Vehicles

Lifetime Maximization of Sensor Networks Through Optimal Data Collection Scheduling of Mobile Sink

Collaborators (2)

Giancarlo Fortino

Gianluca Aloi

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