All Outputs (54)

A lightweight integrity-driven federated learning approach to mitigate poisoning attacks in IoT (2024)
Presentation / Conference Contribution

Despite its distributed nature and being privacy-preserving by nature, Federated Learning (FL) is vulnerable to poisoning attacks in which malicious actors can inject fake model parameters or false data to compromise the learning process. This articl... Read More about A lightweight integrity-driven federated learning approach to mitigate poisoning attacks in IoT.

A novel hybrid framework for realistic UAV detection using a mixed RF signal database (2024)
Presentation / Conference Contribution

Advances in Unmanned Aerial Vehicles (UAVs) empower a plethora of applications but also raise significant security and privacy challenges. Effective UAVs detection systems are crucial for mitigating these risks. This paper deals with this problem and... Read More about A novel hybrid framework for realistic UAV detection using a mixed RF signal database.

A novel hybrid framework for realistic UAV detection using a mixed RF signal database (2024)
Presentation / Conference Contribution

Advances in Unmanned Aerial Vehicles (UAVs) empower a plethora of applications but also raise significant security and privacy challenges. Effective UAVs detection systems are crucial for mitigating these risks. This paper deals with this problem and... Read More about A novel hybrid framework for realistic UAV detection using a mixed RF signal database.

DPFTT: Distributed particle filter for target tracking in the Internet of Things (2023)
Presentation / Conference Contribution

A novel distributed particle filter algorithm for target tracking is proposed in this paper. It uses new metrics and addresses the measurement uncertainty problem by adapting the particle filter to environmental changes and estimating the kinematic (... Read More about DPFTT: Distributed particle filter for target tracking in the Internet of Things.

Generating event sensor readings using spatial correlations and a graph sensor adversarial model for energy saving in IoT: GSAVES (2023)
Presentation / Conference Contribution

This work targets a comprehensive model enabling energy-constrained IoT (Internet of Things) sensor devices to be inactive for extended periods while estimating their readings of real-time events. Although events seem semantically uncoupled, they are... Read More about Generating event sensor readings using spatial correlations and a graph sensor adversarial model for energy saving in IoT: GSAVES.

Knowledge guided deep learning for general-purpose computer vision applications (2023)
Presentation / Conference Contribution

This research targets general-purpose smart computer vision that eliminates reliance on domain-specific knowledge to reach adaptable generic models for flexible applications. It proposes a novel approach in which several deep learning models are trai... Read More about Knowledge guided deep learning for general-purpose computer vision applications.

Deep learning for estimating sleeping sensor’s values in sustainable IoT applications (2022)
Presentation / Conference Contribution

The aim of this work is to develop a deep learning model that uses spatial correlation to enable turning turn off a subset of sensors while predicting their readings. This considerably saves the energy that would be consumed by those sensors both for... Read More about Deep learning for estimating sleeping sensor’s values in sustainable IoT applications.

LSTM for periodic broadcasting in green IoT applications over energy harvesting enabled wireless networks: Case study on ADAPCAST (2022)
Presentation / Conference Contribution

The present paper considers emerging Internet of Things (IoT) applications and proposes a Long Short Term Memory (LSTM) based neural network for predicting the end of the broadcasting period under slotted CSMA (Carrier Sense Multiple Access) based MA... Read More about LSTM for periodic broadcasting in green IoT applications over energy harvesting enabled wireless networks: Case study on ADAPCAST.

IoT-DMCP: An IoT data management and control platform for smart cities (2019)
Presentation / Conference Contribution

This paper presents a design and implementation of a data management platform to monitor and control smart objects in the Internet of Things (IoT). This is through IPv4/IPv6, and by combining IoT specific features and protocols such as CoAP, HTTP and... Read More about IoT-DMCP: An IoT data management and control platform for smart cities.

A novel parallel framework for metaheuristic-based frequent itemset mining (2019)
Presentation / Conference Contribution

Frequent Itemset Mining (FIM) is an important but very time-consuming data mining task. As a result, traditional FIM algorithms are often not scalable to large databases. To address this issue, several metaheuristics have been developed in recent yea... Read More about A novel parallel framework for metaheuristic-based frequent itemset mining.

Energy Harvesting Aware Minimum Spanning Tree for Survivable WSN with Minimum Relay Node Addition (2017)
Presentation / Conference Contribution

Survivable wireless sensor networks that take advantage of green energy resources from the environment is considered in this paper. The particular problem of constrained relay nodes (RNs) placement to ensure communication coverage in the single-tiere... Read More about Energy Harvesting Aware Minimum Spanning Tree for Survivable WSN with Minimum Relay Node Addition.

Parallel BSO algorithm for association rules mining using master/worker paradigm (2016)
Presentation / Conference Contribution

© Springer International Publishing Switzerland 2016. The extraction of association rules from large transactional databases is considered in the paper using cluster architecture parallel computing. Motivated by both the successful sequential BSO-ARM... Read More about Parallel BSO algorithm for association rules mining using master/worker paradigm.

On the effect of sensing-holes in PIR-based occupancy detection systems (2016)
Presentation / Conference Contribution

Sensing-holes in PIR-based motion detection systems are considered, and their impact on occupancy monitoring applications is investigated. To our knowledge, none of prior works on PIR-based systems consider the presence of these holes, which represen... Read More about On the effect of sensing-holes in PIR-based occupancy detection systems.

Energy harvesting aware relay node addition for power-efficient coverage in wireless sensor networks (2015)
Presentation / Conference Contribution

© 2015 IEEE. This paper deals with power-efficient coverage in wireless sensor networks (WSN) by taking advantage of energy-harvesting capabilities. A general scenario is considered for deployed networks with two types of sensor nodes, harvesting ena... Read More about Energy harvesting aware relay node addition for power-efficient coverage in wireless sensor networks.

A variant of connected dominating set in unit disk graphs for applications in communication networks (2015)
Presentation / Conference Contribution

© 2015 IEEE. This paper considers a variant of the connected dominating set (CDS) problem in a unit disk graph G = (V, E). The considered problem consists in minimizing the number of CDS vertices that belong to a subset V' ⊆V. As far as we know, this... Read More about A variant of connected dominating set in unit disk graphs for applications in communication networks.

Car park management with networked wireless sensors and active RFID (2015)
Presentation / Conference Contribution

© 2015 IEEE. This paper considers automatic car park management, which becomes an inevitable option to rationalize traffic management in modern cities. Integration of networked sensor/actuator and radio frequency identification (RFID) technologies is... Read More about Car park management with networked wireless sensors and active RFID.

MSR: Minimum-Stop Recharging Scheme for Wireless Rechargeable Sensor Networks (2014)
Presentation / Conference Contribution

© 2014 IEEE. This paper deals with simultaneous energy transfer to multiple nodes for scalable wireless recharging in wireless sensor networks. All existing recharging schemes rely on the use of a mobile charger that roves the network and drops by so... Read More about MSR: Minimum-Stop Recharging Scheme for Wireless Rechargeable Sensor Networks.

Interference-aware congestion control protocol for wireless sensor networks (2014)
Presentation / Conference Contribution

© 2014 The Authors. This paper deals with congestion and interference control in wireless sensor networks (WSN), which is essential for improving the throughput and saving the scarce energy in networks where nodes have different capacities and traffi... Read More about Interference-aware congestion control protocol for wireless sensor networks.

Congestion detection strategies in wireless sensor networks: A comparative study with testbed experiments (2014)
Presentation / Conference Contribution

© 2014 The Authors. Event based applications of Wireless Sensor Networks (WSNs) are prone to traffic congestion, where unpredicted event detection yields simultaneous generation of traffic at spatially co-related nodes, and its propagation towards th... Read More about Congestion detection strategies in wireless sensor networks: A comparative study with testbed experiments.

Brief announcement: Game theoretical approach for energy-delay balancing in distributed duty-cycled MAC protocols of wireless networks (2014)
Presentation / Conference Contribution

Optimizing energy consumption and end-to-end (e2e) packet delay in energy constrained distributed wireless networks is a conflicting multi-objective optimization problem. This paper investigates this trade-off from a game-theoretic perspective, where... Read More about Brief announcement: Game theoretical approach for energy-delay balancing in distributed duty-cycled MAC protocols of wireless networks.