All Outputs (44)

DPFTT: Distributed particle filter for target tracking in the Internet of Things (2023)
Conference Proceeding
Boulkaboul, S., Djenouri, D., & Bagaa, M. (2023). DPFTT: Distributed particle filter for target tracking in the Internet of Things. In 2023 12th IFIP/IEEE International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN). https://doi.org/10.23919/PEMWN58813.2023.10304926

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)
Conference Proceeding
Laidi, R., Djenouri, D., Bagaa, M., Khelladi, L., & Djenouri, Y. (2023). Generating event sensor readings using spatial correlations and a graph sensor adversarial model for energy saving in IoT: GSAVES. In 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). https://doi.org/10.1109/pimrc56721.2023.10293922

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)
Conference Proceeding
Djenouri, Y., Belbachir, A. N., Jhaveri, R. H., & Djenouri, D. (2023). Knowledge guided deep learning for general-purpose computer vision applications. In Computer Analysis of Images and Patterns (185-194). https://doi.org/10.1007/978-3-031-44237-7_18

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)
Conference Proceeding
Djenouri, D., Laidi, R., & Djenouri, Y. (2022). Deep learning for estimating sleeping sensor’s values in sustainable IoT applications. In 2022 International Balkan Conference on Communications and Networking (BalkanCom) (147-151). https://doi.org/10.1109/BalkanCom55633.2022.9900817

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)
Conference Proceeding
Mustapha, K., Djenouri, D., Jianguo, D., & Djenouri, Y. (2022). LSTM for periodic broadcasting in green IoT applications over energy harvesting enabled wireless networks: Case study on ADAPCAST. In 2021 17th International Conference on Mobility, Sensing and Networking (MSN) (694-699). https://doi.org/10.1109/MSN53354.2021.00107

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)
Conference Proceeding
Boulkaboul, S., Djenouri, D., Bouhafs, S., & Belaid, M. (2019). IoT-DMCP: An IoT data management and control platform for smart cities. https://doi.org/10.5220/0007861005780583

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)
Conference Proceeding
Djenouri, Y., Djenouri, D., Belhadi, A., Chun-Wei Lin, J., Bendjoudi, A., & Fournier-Viger, P. (2019). A novel parallel framework for metaheuristic-based frequent itemset mining. https://doi.org/10.1109/cec.2019.8790116

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)
Conference Proceeding
Djenouri, D., Bagaa, M., Chelli, A., & Balasingham, I. (2017). Energy Harvesting Aware Minimum Spanning Tree for Survivable WSN with Minimum Relay Node Addition. https://doi.org/10.1109/glocomw.2016.7848891

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)
Conference Proceeding
Djenouri, Y., Bendjoudi, A., Djenouri, D., & Habbas, Z. (2016). Parallel BSO algorithm for association rules mining using master/worker paradigm. https://doi.org/10.1007/978-3-319-32149-3_25

© 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)
Conference Proceeding
Ouadjaout, A., Lasla, N., Djenouri, D., & Zizoua, C. (2016). On the effect of sensing-holes in PIR-based occupancy detection systems. In Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS. , (175-180). https://doi.org/10.5220/0005805901750180

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)
Conference Proceeding
Djenouri, D., & Bagaa, M. (2015). Energy harvesting aware relay node addition for power-efficient coverage in wireless sensor networks. https://doi.org/10.1109/ICC.2015.7248303

© 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)
Conference Proceeding
Djenouri, D., & Bagaa, M. (2015). A variant of connected dominating set in unit disk graphs for applications in communication networks. https://doi.org/10.1109/EIT.2015.7293384

© 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.

MSR: Minimum-Stop Recharging Scheme for Wireless Rechargeable Sensor Networks (2014)
Conference Proceeding
Khelladi, L., Djenouri, D., Lasla, N., Badache, N., & Bouabdallah, A. (2014). MSR: Minimum-Stop Recharging Scheme for Wireless Rechargeable Sensor Networks. https://doi.org/10.1109/UIC-ATC-ScalCom.2014.119

© 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.

Brief announcement: Game theoretical approach for energy-delay balancing in distributed duty-cycled MAC protocols of wireless networks (2014)
Conference Proceeding
Doudou, M., Ordinas, J. M., Djenouri, D., Vidal, J. G., & Badache, N. (2014). Brief announcement: Game theoretical approach for energy-delay balancing in distributed duty-cycled MAC protocols of wireless networks. https://doi.org/10.1145/2611462.2611509

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.

Implementation of high precision synchronization protocols in wireless sensor networks (2014)
Conference Proceeding
Djenouri, D., & Bagaa, M. (2014). Implementation of high precision synchronization protocols in wireless sensor networks. https://doi.org/10.1109/WOCC.2014.6839945

Microsecond-level time synchronization is needed in realtime applications of wireless sensor networks. While several synchronization protocols have been proposed, most performance evaluations have been limited to theoretical analysis and simulation,... Read More about Implementation of high precision synchronization protocols in wireless sensor networks.

MLE for receiver-to-receiver time synchronization in wireless networks with exponential distributed delays (2014)
Conference Proceeding
Djenouri, D. (2014). MLE for receiver-to-receiver time synchronization in wireless networks with exponential distributed delays. https://doi.org/10.1109/VTCSpring.2014.7022985

© 2014 IEEE. Receiver-to-receiver time synchronization in wireless networks is considered, and appropriate maximum-likelihood estimators (MLE) for environments with exponential distrusted reception delays are proposed. In the receiver-to-receiver syn... Read More about MLE for receiver-to-receiver time synchronization in wireless networks with exponential distributed delays.

Cost effective node deployment strategy for energy-balanced and delay-efficient data collection in wireless sensor networks (2014)
Conference Proceeding
Doudou, M., Djenouri, D., Barcelo-Ordinas, J. M., & Badache, N. (2014). Cost effective node deployment strategy for energy-balanced and delay-efficient data collection in wireless sensor networks. https://doi.org/10.1109/WCNC.2014.6952904

© 2014 IEEE. The real-world node deployment aspect is investigated, while considering cost minimization for resolving the energy hole around the sink, which represents a serious problem in typical sensor networks with uniform distribution. A novel st... Read More about Cost effective node deployment strategy for energy-balanced and delay-efficient data collection in wireless sensor networks.

Intertwined medium access scheduling of upstream and downstream traffic in wireless sensor networks (2014)
Conference Proceeding
Bagaa, M., Younis, M., Djenouri, D., & Badache, N. (2014). Intertwined medium access scheduling of upstream and downstream traffic in wireless sensor networks. https://doi.org/10.1109/WCNC.2014.6952776

© 2014 IEEE. In wireless sensor networks, the sensor data are often aggregated en-route to the base-station in order to eliminate redundancy and conserve the network resources. The basestation not only acts as a destination for the upstream data traf... Read More about Intertwined medium access scheduling of upstream and downstream traffic in wireless sensor networks.

Preface of the 6th IEEE international workshop on management of emerging networks and services (IEEE Globecom MENS 2014) (2014)
Conference Proceeding
Chaparadza, R., Ding, J., & Djenouri, D. (2014). Preface of the 6th IEEE international workshop on management of emerging networks and services (IEEE Globecom MENS 2014). https://doi.org/10.1109/GLOCOMW.2014.7063422

© 2014 IEEE. This short paper serves as the preface of the 6th IEEE International Workshop on Management of Emerging Networks and Services (IEEE Globecom MENS 2014). The 6th IEEE MENS 2014 attracted a significant number of papers this year, as in the... Read More about Preface of the 6th IEEE international workshop on management of emerging networks and services (IEEE Globecom MENS 2014).

Ubiquitous sensor network management: The least interference beaconing model (2013)
Conference Proceeding
Bagula, A., Djenouri, D., & Karbab, E. (2013). Ubiquitous sensor network management: The least interference beaconing model. https://doi.org/10.1109/pimrc.2013.6666538

Network management is revisited in the emerging ubiquitous sensor networks (USNs) that form the Internet-of-the-Things (IoT) with the objective of evaluating the impact of traffic engineering on energy efficiency and assessing if routing simplicity t... Read More about Ubiquitous sensor network management: The least interference beaconing model.