Moufida Maimour

@univ-lorraine.fr

Lorraine University



                 

https://researchid.co/maimour
60

Scopus Publications

1021

Scholar Citations

18

Scholar h-index

37

Scholar i10-index

Scopus Publications


  • A digital twin-based energy-efficient wireless multimedia sensor network for waterbirds monitoring
    Aya Sakhri, Arsalan Ahmed, Moufida Maimour, Mehdi Kherbache, Eric Rondeau, and Noureddine Doghmane
    Elsevier BV

  • Survey on digital twins for natural environments: A communication network perspective
    Moufida Maimour, Arsalan Ahmed, and Eric Rondeau
    Elsevier BV

  • EVBS-CAT: enhanced video background subtraction with a controlled adaptive threshold for constrained wireless video surveillance
    Ahcen Aliouat, Nasreddine Kouadria, Moufida Maimour, and Saliha Harize
    Springer Science and Business Media LLC


  • Semantic web and machine learning techniques addressing semantic interoperability in Industry 4.0
    Mohamed Madani Hafidi, Meriem Djezzar, Mounir Hemam, Fatima Zahra Amara, and Moufida Maimour
    Emerald
    Purpose This paper aims to offer a comprehensive examination of the various solutions currently accessible for addressing the challenge of semantic interoperability in cyber physical systems (CPS). CPS is a new generation of systems composed of physical assets with computation capabilities, connected with software systems in a network, exchanging data collected from the physical asset, models (physics-based, data-driven, . . .) and services (reconfiguration, monitoring, . . .). The physical asset and its software system are connected, and they exchange data to be interpreted in a certain context. The heterogeneous nature of the collected data together with different types of models rise interoperability problems. Modeling the digital space of the CPS and integrating information models that support cyber physical interoperability together are required. Design/methodology/approach This paper aims to identify the most relevant points in the development of semantic models and machine learning solutions to the interoperability problem, and how these solutions are implemented in CPS. The research analyzes recent papers related to the topic of semantic interoperability in Industry 4.0 (I4.0) systems. Findings Semantic models are key enabler technologies that provide a common understanding of data, and they can be used to solve interoperability problems in Industry by using a common vocabulary when defining these models. Originality/value This paper provides an overview of the different available solutions to the semantic interoperability problem in CPS.


  • Decentralized TSCH scheduling protocols and heterogeneous traffic: Overview and performance evaluation
    Mehdi Kherbache, Otabek Sobirov, Moufida Maimour, Eric Rondeau, and Abderrezak Benyahia
    Elsevier BV

  • Region-of-interest based video coding strategy for rate/energy-constrained smart surveillance systems using WMSNs
    Ahcen Aliouat, Nasreddine Kouadria, Moufida Maimour, Saliha Harize, and Noureddine Doghmane
    Elsevier BV

  • QL-TSCH-plus: A Q-learning Distributed Scheduling Algorithm for TSCH Networks
    Mehdi Kherbache, Moufida Maimour, and Eric Rondeau
    IEEE
    Addressing the requirements of Industrial Internet of Things (IIoT) in Industry 4.0, the Time Slotted Channel Hopping (TSCH) protocol of the IEEE 802.15.4e amendment has been proposed. However, the lack of a defined scheduling procedure in the standard remains an open research area. Existing reinforcement learning-based scheduling proposals demonstrate great potential for this technique due to the ongoing observations within the network environment. Beneficial for real-world scenarios where network conditions are volatile and unpredictable. This work presents QL- TSCH-plus, an enhancement of the existing QL- TSCH scheduler that reduces energy consumption by adapting the Action Peeking mechanism to a distributed scheme. Instead of continuously listening to neighboring nodes communication, QL- TSCH-plus allows nodes to broadcast the learned transmission slots for updating the Action Peeking Tables and allocating reception slots, reducing energy use by up to 47% compared to QL-TSCH. This novel approach also maintains reliability and timeliness, demonstrating significant potential for efficient scheduling in TSCH networks, making it suitable for the IIoT.

  • An Efficient Low Complexity Region-of-Interest Detection for Video Coding in Wireless Visual Surveillance
    Ahcen Aliouat, Nasreddine Kouadria, Saliha Harize, and Moufida Maimour
    Institute of Electrical and Electronics Engineers (IEEE)
    Moving object detection (MOD) has become a popular topic in video analysis due to its use in several applications, including video coding in wireless surveillance. However, implementing MOD in constrained sensors is challenging due to their high complexity and energy consumption. Therefore, there is a great need to address the trade-off between the accuracy and the energy efficiency of MOD approaches for video coding in constrained systems. In this work, an energy-efficient region-of-interest (ROI) detection algorithm as a pre-encoder for wireless visual surveillance (WVS) is proposed. The algorithm ensures a trade-off between detection accuracy and computational complexity. To this end, we propose constructing an activity map by measuring each block activity between successive frames. The map scores are processed using a combination of a fast Gaussian smoother and a rank-order filter to improve accuracy. Only the blocks in motion are coded and counted for transmission. The accuracy of our approach has been evaluated on a large dataset using key performance metrics. It has been found that our algorithm outperforms other state-of-the-art techniques in terms of true positive rate (TPR), with 80.84% on sensitivity metric, while exhibiting a well-balanced accuracy for all categories. A careful examination of the computational complexity confirms the low overhead. The energy and bitrate savings could achieve nearly 90% and 98%, respectively.

  • Audio-Visual Low Power System for Endangered Waterbirds Monitoring
    Aya Sakhri, Oussama Hadji, Chakir Bouarrouguen, Moufida Maimour, Nasreddine Kouadria, Abderrezak Benyahia, Eric Rondeau, Noureddine Doghmane, and Saliha Harize
    Elsevier BV

  • Disjoint multipath RPL for QoE/QoS provision in the Internet of Multimedia Things
    Souhila Kettouche, Moufida Maimour, and Lakhdar Derdouri
    Springer Science and Business Media LLC

  • An Energy-Efficient WMSN-based System for Endangered Birds Monitoring
    Aya Sakhri, Moufida Maimour, Eric Rondeau, Noureddine Doghmane, and Saliha Harize
    Elsevier BV

  • Reinforcement Learning TDMA-Based MAC Scheduling in the Industrial Internet of Things: A Survey
    Mehdi Kherbache, Otabek Sobirov, Moufida Maimour, Eric Rondeau, and Abderrezak Benyahia
    Elsevier BV

  • Digital Twin Network for the IIoT using Eclipse Ditto and Hono
    Mehdi Kherbache, Moufida Maimour, and Eric Rondeau
    Elsevier BV

  • Semantic Models and Machine Learning Approach in CPS:A Survey


  • Region-of-Interest based Video Coding Strategy for Low Bitrate Surveillance Systems
    Ahcen Aliouat, Nasreddine Kouadria, Moufida Maimour, and Saliha Harize
    IEEE
    In this work, we propose a fast and efficient Region-of-Interest based video coding strategy for surveillance systems involving low bitrate. The proposed algorithm is based on a combination of three major techniques, namely, edge detection, frame differencing and sum of absolute differences. We improve the algorithm accuracy through the use of morphological operations. A thresholding is performed to classify the frame blocks into moving and non-moving blocks. This allows to compress and sent to the destination only moving blocks in an object-based video coding scenario. The obtained results prove the efficiency of our proposal in terms of accurate detection, data reduction and bitrate saving.

  • Deep Learning-based Image Restoration for Low-Power and Lossy Networks
    Moufida Maimour, Aya Sakhri, Eric Rondeau, Mohamed Omar Chida, Chaima Tounsi-Omezzine, and Celine Zhang
    IEEE
    Multimedia Internet of Things (IoMT) is witnessing explosive growth due to its applications in multiple areas. To cope with limited resources of low-power and lossy networks (LLN), it is common that: (i) images are captured with a degraded quality due to limited camera capabilities, (ii) a low-cost lossy compression is applied to reduce the amount of data to deliver which introduces additional distortion and (iii) transmissions are prone to losses that induce holes in the images, further degrading their quality and making them difficult to use. In this work, we propose a complete efficient encoding-transmission-reconstruction chain. In addition to the use of a low complexity image compression method, an appropriate packetization scheme is proposed. At the destination, more powerful resources are leveraged to apply deep learning models to compensate for the distortion caused by the adopted lossy compression as well as to fill in the holes induced by packet losses. The obtained results show the effectiveness of our proposal.

  • Region of Interest and Redundancy Problem in Migratory Birds Wild Life Surveillance
    Oussama Hadji, Ouahab Kadri, Moufida Maimour, Eric Rondeau, and Abderrezak Benyahia
    IEEE
    Wetlands or humid zones are one of the most vital areas where many species of birds that maintain the balance of ecological systems. Due to global warming and change climate, rare species are threatened with extinction. It is important to preserve track and monitor these species. Most wild life monitoring systems are expensive or sub-optimal in terms of performance, deployment and network overloading. In this paper, we explore the possibility of using image processing techniques to reduce the large amount of data transmitted in traditional audio/video streaming monitoring systems. We used the region of interest technique to convey only the occurrence of a moving object. Feature extraction and matching techniques are used to deal with the redundancy and counting problem. We believe that our results show the viability of employing and using these techniques to reduce the amount of data transmitted in wild life monitoring systems.

  • Multi-Threshold-Based Frame Segmentation for Content-Aware Video Coding in WMSN
    Ahcen Aliouat, Nasreddine Kouadria, Saliha Harize, and Moufida Maimour
    Springer International Publishing

  • Network Digital Twin for the Industrial Internet of Things
    Mehdi Kherbache, Moufida Maimour, and Eric Rondeau
    IEEE
    Digital Twins are starting to revolutionize many industries in the last decade providing a plethora of benefits to optimize the performance of industrial systems. They aim to create a continuously synchronized model of the physical system which enables rapid adaptation to dynamics, mainly unpredicted and undesirable changes. A wide range of industrial fields have already benefited from digital twins technology such as aerospace, manufacturing, healthcare, city management and maritime and shipping. Furthermore, recent research works are starting to study the integration of digital twins for computer networks to allow more innovation and intelligent management. One of the basic building blocks of digital twins technology is the Internet of Things where wireless sensors and actuators are deployed to ensure the interaction between the physical and digital worlds. This type of network is complex to manage due to its severe constraints especially when it controls critical industrial applications, resulting in the Industrial Internet of Things (IIoT). We believe that the optimization of the IIoT will lead to efficient integration of Digital Twins in Industry 4.0. In this paper, we design a Network Digital Twin for the IIoT where sensors, actuators and communication infrastructure are replicated in the digital twin to enable intelligent real-time management of such networks. This way, new networking services such as predictive maintenance, network diagnosis, resource allocation, energy optimization with other intelligent services can be efficiently integrated and exploited in the network life-cycle. We validate the proposed architecture by providing a promising prototype implementation that should unleash the full potential of the network digital twin.

  • An Ontology – based Contextual Approach for Cross-domain Applications in Internet of Things
    Sihem Benkhaled, Mounir Hemam, Meriem Djezzar, and Moufida Maimour
    Slovenian Association Informatika

  • Semantic Web Technologies for Internet of Things Semantic Interoperability
    Fatima Zahra Amara, Mounir Hemam, Meriem Djezzar, and Moufida Maimour
    Springer International Publishing

  • When digital twin meets network softwarization in the industrial iot: Real-time requirements case study
    Mehdi Kherbache, Moufida Maimour, and Eric Rondeau
    MDPI AG
    The Industrial Internet of Things (IIoT) is known to be a complex system because of its severe constraints as it controls critical applications. It is difficult to manage such networks and keep control of all the variables impacting their operation during their whole lifecycle. Meanwhile, Digital Twinning technology has been increasingly used to optimize the performances of industrial systems and has been ranked as one of the top ten most promising technological trends in the next decade. Many Digital Twins of industrial systems exist nowadays but only few are destined to networks. In this paper, we propose a holistic digital twinning architecture for the IIoT where the network is integrated along with the other industrial components of the system. To do so, the concept of Network Digital Twin is introduced. The main motivation is to permit a closed-loop network management across the whole network lifecycle, from the design to the service phase. Our architecture leverages the Software Defined Networking (SDN) paradigm as an expression of network softwarization. Mainly, the SDN controller allows for setting up the connection between each Digital Twin of the industrial system and its physical counterpart. We validate the feasibility of the proposed architecture in the process of choosing the most suitable communication mechanism that satisfies the real-time requirements of a Flexible Production System.

RECENT SCHOLAR PUBLICATIONS

  • EcoWatch: Region of interest-based multi-quantization resource-efficient framework for migratory bird surveillance using wireless sensor networks and environmental context
    O Hadji, M Maimour, A Benyahia, O Kadri, E Rondeau
    Computers and Electrical Engineering 123, 110076 2025

  • Enhanced Energy Efficiency in Visual Sensor Networks through ROI-Based Compression Techniques in Wildlife Surveillance
    O Hadji, M Maimour, O Kadri, A Benyahia, E Rondeau
    2024 12th International Conference on Systems and Control (ICSC), 395-400 2024

  • A digital twin-based energy-efficient wireless multimedia sensor network for waterbirds monitoring
    A Sakhri, A Ahmed, M Maimour, M Kherbache, E Rondeau, N Doghmane
    Future Generation Computer Systems 155, 146-163 2024

  • Survey on digital twins for natural environments: A communication network perspective
    M Maimour, A Ahmed, E Rondeau
    Internet of Things 25, 101070 2024

  • EVBS-CAT: enhanced video background subtraction with a controlled adaptive threshold for constrained wireless video surveillance
    A Aliouat, N Kouadria, M Maimour, S Harize
    Journal of Real-Time Image Processing 21 (1), 9 2024

  • Constructing a Network Digital Twin through formal modeling: Tackling the virtual–real mapping challenge in IIoT networks
    M Kherbache, A Ahmed, M Maimour, E Rondeau
    Internet of Things 24, 101000 2023

  • Semantic web and machine learning techniques addressing semantic interoperability in Industry 4.0
    MM Hafidi, M Djezzar, M Hemam, FZ Amara, M Maimour
    International Journal of Web Information Systems 19 (3/4), 157-172 2023

  • Contributions for enabling high data rate applications in low-power networks
    M Maimour
    Universit de Lorraine 2023

  • QL-TSCH-plus: A Q-learning distributed scheduling algorithm for TSCH networks
    M Kherbache, M Maimour, E Rondeau
    2023 IEEE 9th World Forum on Internet of Things (WF-IoT), 1-6 2023

  • Decentralized TSCH scheduling protocols and heterogeneous traffic: Overview and performance evaluation
    M Kherbache, O Sobirov, M Maimour, E Rondeau, A Benyahia
    Internet of Things 22, 100696 2023

  • Decentralized TSCH scheduling protocols and heterogeneous traffic: Overview and performance evaluation
    M Kherbache, O Sobirov, M Maimour, E Rondeau, A Benyahia
    Internet of Things 22, 100696 2023

  • DNN inference splitting and offloading in the Internet of Things: A survey
    C Bouarouguene, M Maimour, O Kadri, E Rondeau, A Benyahia
    1er Congrs annuel de la Socit d’Automatique de Gnie Industriel et de 2023

  • Performance evaluation of a WMSN-based system for endangered bird monitoring
    A Sakhri, M Maimour, N Doghmane, E Rondeau
    1er Congrs annuel de la Socit d’Automatique de Gnie Industriel et de 2023

  • IoT network digital twins modeling using Petri nets
    M Kherbache, M Maimour, E Rondeau
    1er Congrs Annuel de la Socit d’Automatique de Gnie Industriel et de 2023

  • Proposed system for efficient wildlife monitoring using WSN and image processing
    O Hadji, A Benyahia, M Maimour, E Rondeau, O Kadri
    1er Congrs annuel de la Socit d’Automatique de Gnie Industriel et de 2023

  • Study and Implementation of an Object-based Video Pre-encoder for Embedded Wireless Video Surveillance Systems
    A Aliouat
    Universit Badji Mokhtar-Annaba (Algrie) 2023

  • Region-of-interest based video coding strategy for rate/energy-constrained smart surveillance systems using WMSNs
    A Aliouat, N Kouadria, M Maimour, S Harize, N Doghmane
    Ad Hoc Networks 140, 103076 2023

  • An efficient low complexity region-of-interest detection for video coding in wireless visual surveillance
    A Aliouat, N Kouadria, S Harize, M Maimour
    IEEE Access 11, 26793-26806 2023

  • An Advanced Assessment of Decentralized TSCH Schedulers: Unraveling the Implications of Heterogeneous Traffic Scenarios on Performance Efficacy
    M Kherbache, M Maimour, E Rondeau
    IFAC-PapersOnLine 56 (2), 10186-10191 2023

  • Deep Learning-based Image Restoration for Low-Power and Lossy Networks
    M Maimour, A Sakhri, E Rondeau, MO Chida, C Tounsi-Omezzine, ...
    2022 International Conference on Advanced Aspects of Software Engineering 2022

MOST CITED SCHOLAR PUBLICATIONS

  • Maximally radio-disjoint multipath routing for wireless multimedia sensor networks
    M Maimour
    Proceedings of the 4th ACM workshop on Wireless multimedia networking and 2008
    Citations: 129

  • Cluster-based Routing Protocols for Energy-Efficiency in Wireless Sensor Networks
    M Maimour, H Zeghilet, F Lepage
    Sustainable Wireless Sensor Networks, 167-188 2010
    Citations: 60

  • Load repartition for congestion control in multimedia wireless sensor networks with multipath routing
    M Maimour, C Pham, J Amelot
    Wireless Pervasive Computing, 2008. ISWPC 2008. 3rd International Symposium 2008
    Citations: 51

  • Active networking support for the grid
    L Lefvre, C Pham, P Primet, B Tourancheau, B Gaidioz, JP Gelas, ...
    IFIP International Working Conference on Active Networks, 16-33 2001
    Citations: 35

  • Interference-aware multipath routing protocol for video transmission over ZigBee wireless sensor networks
    Z Bidai, M Maimour
    2014 International Conference on Multimedia Computing and Systems (ICMCS 2014
    Citations: 34

  • Node disjoint multi-path routing for ZigBee cluster-tree wireless sensor networks
    Z Bidai, H Haffaf, M Maimour
    2011 International Conference on Multimedia Computing and Systems, 1-6 2011
    Citations: 32

  • Network digital twin for the industrial internet of things
    M Kherbache, M Maimour, E Rondeau
    2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and 2022
    Citations: 31

  • When digital twin meets network softwarization in the industrial IoT: real-time requirements case study
    M Kherbache, M Maimour, E Rondeau
    Sensors 21 (24), 8194 2021
    Citations: 31

  • Dynamic replier active reliable multicast (dyram)
    M Maimour, C Pham
    Proceedings ISCC 2002 Seventh International Symposium on Computers and 2002
    Citations: 30

  • Digital twin network for the IIoT using eclipse ditto and hono
    M Kherbache, M Maimour, E Rondeau
    IFAC-PapersOnLine - TA 2022 - 6th IFAC Symposium on Telematics Applications 2022
    Citations: 29

  • Region-of-interest based video coding strategy for rate/energy-constrained smart surveillance systems using WMSNs
    A Aliouat, N Kouadria, M Maimour, S Harize, N Doghmane
    Ad Hoc Networks 140, 103076 2023
    Citations: 27

  • Semantic web technologies for internet of things semantic interoperability
    FZ Amara, M Hemam, M Djezzar, M Maimour
    Advances in Information, Communication and Cybersecurity: Proceedings of 2022
    Citations: 26

  • SenseVid: A Traffic Trace based Tool for QoE Video Transmission Assessment Dedicated to Wireless Video Sensor Networks
    M Maimour
    Simulation Modelling Practice and Theory 2018
    Citations: 25

  • Designing and evaluating an active grid architecture
    F Bouhafs, JP Gelas, L Lefvre, M Maimour, C Pham, ...
    Future Generation Computer Systems 21 (2), 315-330 2005
    Citations: 23

  • Semantic web and internet of things: Challenges, applications and perspectives
    FZ Amara, M Hemam, M Djezzar, M Maimor
    Journal of ICT standardization 10 (2), 261-291 2022
    Citations: 21

  • An ontology–based contextual approach for cross-domain applications in internet of things
    S Benkhaled, M Hemam, M Djezzar, M Maimour
    Informatica 46 (5) 2022
    Citations: 20

  • Interference-aware multipath routing for WSNs: Overview and performance evaluation
    M Maimour
    Applied Computing and Informatics 2018
    Citations: 19

  • Reinforcement learning TDMA-based MAC scheduling in the Industrial Internet of Things: A survey
    M Kherbache, O Sobirov, M Maimour, E Rondeau, A Benyahia
    IFAC-PapersOnLine - TA 2022 - 6th IFAC Symposium on Telematics Applications 2022
    Citations: 18

  • DyRAM: an Active Reliable Multicast Framework for Data Distribution
    M Maimour, CD Pham
    Cluster Computing 7, 163-176 2004
    Citations: 17

  • On the use of passive clustering in wireless video sensor networks
    H Zeghilet, M Maimour, N Badache, F Lepage
    International Journal of Sensor Networks 11 (2), 67-80 2012
    Citations: 16