2023Activity reportProject-TeamFUN

3.1.1 Frugality and opportunism

As the objects we consider are resource-limited and that they use a rare resource to communicate (wireless medium), all our solutions must be frugal and use as little resources as possible. A way to alleviate the energy consumption and the medium utilization is to reduce the data to send and/or to smartly decide when to send it, by what mean and to whom without jeopardizing the accuracy and completeness of the data. When to send a data can indeed impact the resource utilization since in a dynamic environment, some interference could appear at different times; in a mobile environment, a data could be carried rather than transmitted; in an energy-harvesting network, the amount of available energy could grow. We thus intend to closely analyse and understand interference impacts on different environments and contexts on one hand (as the research initiated in LumiCar, EthiCam, AgriNET) and to exploit them in the design of our protocols.

Deciding what data to send allows for a data reduction and resource savings. To do so, we will use machine learning techniques (e.g. Thompson sampling, Bayesian approaches, linear approaches, ARMA, Pearson sampling etc) that we will adapt to fit the specific context of the applications. The idea is to propose predictive algorithms to "guess" a data rather than transmitting it. This is among others what we are investigating in the AgriNET project.

In case of the availability of multiple communication technologies, the choice of this technology will impact the global system since all technologies do not provide the same QoS performances (delays, throughputs, etc) with different energy consumptions and do not face interferences the same way depending on the environment. We will thus analyse and understand all these specificities to combine them to get the best performances.

In all above mentioned cases, we will try to provide time and space depend protocols as frugal as possible but still meeting the application requirements and expectations. This will be done by opportunistically leveraging network particularities (multiple technologies, mobility, energy-harvesting, etc) based on experimental-driven behavioral analysis, as initiated with the collaboration with Sencrop.

3.1.2 Security

Security of wireless transmissions is a rising issue that gains importance with the increase of wireless devices. Our team has just started research work in security but we will pursue our efforts. Our goal will be to secure the wireless communications in different ways. Indeed, traditional security techniques (cryptography, firewalls, etc) cannot be applied in FUN because of their pervasive feature and limited resources. In terms of Security, we will focus on the lowest layers of the communication stack in order to first identify attacks that may appear at these levels and proposes i) recovering and healing solutions and ii) new solutions that are robust by design.

At the MAC layer, we will for instance investigate denial of sleep-like attacks that aim to make nodes deplete their energy quickly. At NET layer, we will investigate different routing protocols that are able to detect an abnormal behavior of a neighbor node to then exclude it from any network operation. This has obviously to be done locally and in a distributed way. In all cases, the same methodology will be apply: observe, understand and model, to then identify the threat or the malicious entity and finally heal. In some case, we can leverage the characteristics of the communication technology to reinforce the security aspect, such as VLC that may allow Line-of-Sight (LOS) communications and for which certain types of attacks that can be effective for "traditional" wireless systems (i.e., jamming attacks) cannot be easily applied. The works initiated in the framework of the H2020 CyberSANE project, in the DGA grant and in DEPOSIA project, fall within this perspective.

3.1.3 Interconnectivity

Another challenge faced by FUN is their interconnectivity to traditional networks such as Internet and the data offloading. Because of their limited capacity, FUN devices may need to call for remote services. These latter are usually hosted in the cloud. But being served by the cloud implies sometimes long latency and uselessly congest the wired network. We will thus investigate how to get these services closer to the FUN devices to alleviate the energy consumption, reduce latency and network congestion. This will go from edge and mobile edge deployments to service distribution over more powerful heterogeneous devices. Our research will analyse devices needs and estimate in time and space the services to be deployed. When the service is expected to be temporary, mobile edge services could be deployed and so our investigations will include the self-deployment techniques. When some already deployed wireless devices feature more capacity, we can leverage this node heterogeneity to distribute the services over these nodes. The research conducted towards this third objective will call for adaptation of machine learning techniques to predict needs, to mobility modeling and cross-layer communication protocols. This has been initiated in the DRUID-NET project.

Sisyphe

Participants: Nathalie Mitton [contact person], Nina Santi.

The Sisyphe tool 29 relies on the FIT IoT-Lab large scale testbed and state-of-the-art software engineering techniques to produce, collect and share artifacts and datasets in an automated way. This makes easy to track the impact of software updates or changes in the radio environment both on a small scale, e.g. during a single day, and on a large scale, e.g. during several weeks. By providing both the source code for the trace generation as well as the resulting datasets, we hope to reduce the learning curve to develop such applications and encourage reusability as well as pave the way for the replication of our results. While we focus in this work on IoT networks, we believe such an approach could be used in many other networking domains.

All generated dataset and open software are available here and in Zenodo. It has been then extended to include mobility in data generation. This extension is available here.

PILOT

Participants: Jana Koteich, Nathalie Mitton [contact person].

PILOT 28 dataset is a Privacy-preserving data collectIon tool of wireLess cOmmunication Technologies. The collected dataset is a collection of four jointly collected information in different mobility contexts. It includes three wireless communication technologies: WiFi probe-responses, BLE (Bluetooth Low Energy) beacons, and LoRa (Long Range Radio) packets, plus additional information: Acceleration, Roll, and Pitch, all collected at the same time. We provide the keys to reproduce such data collection and share the datasets already collected. The dataset is collected for approximately 90 hours, with a size of 200 MB using FiPy devices from Pycom and it is uploaded to GitHub. The dataset's utility is validated through the application of a classification machine learning model 24 that determines the real-life situation of devices through the communication links monitored in different scenarios with an accuracy of 94%. Thus, we believe that such dataset is important for human mobility studies and applications of integrated sensing systems since it offers a new form of a classified collected data that does not exist in the already published datasets.

All collected dataset and open software are available here.

8.2.1 Visible Light Communication (VLC)

It is a well recognized matter of fact that the Internet of Everything (IoE) paradigm main limitation is represented by the exiguous wireless resources. In the last decade, Optical Wireless Communication Systems (OWCSs) have risen as a green and effective solution to alleviate the spectral scarcity and boost the ubiquitous deployment and usage of IoE devices. The significant advances in optoelectronic technology have made Light Emitting Diodes (LEDs) and photodetectors (PDs) inexpensive, and efficient hardware to equip optical transceivers. Furthermore, the emission of LEDs can be conveniently managed to provide the illumination service jointly with wireless connectivity. One of the key features of OWCSs is they are Intensity-Modulation/Direct-Detection (IM/DD) systems, requiring high energy efficient modulation techniques. Among the different modulation schemes, one of the most widespread is On-Off Keying (OOK), as a special case of Pulse-Amplitude Modulation (PAM) employing only two transmit signal power levels, one of which is set to zero. In general, even though PAM is very suitable for OWCSs, its main issue is related to the growth of the electrical/optical energy per bit, with the increase of modulation order, necessary to guarantee a certain Bit Error Rate (BER). A higher level of energy efficiency can be achieved with the adoption of orthogonal modulation schemes, although with a negative impact on spectral efficiency. Frequency-Shift Keying (FSK) belongs to the orthogonal modulation schemes category. Its main drawback in the context of OWCSs is represented by its bipolar characteristics, however the variant of FSK based on Direct-Current (DC) offset, namely DC-FSK, allows to obtain a scheme compatible with the IM/DD approach.

Based on these premises, it is clear that each modulation scheme has its own strengths and weaknesses. Hence, combining different techniques would be a promising approach to capitalize on the benefits and mitigate drawbacks. This is the main subject investigated in 15. The main novelty of this work is that we propose a multi-modulation scheme relying on the combination of non-orthogonal PPM, PAM and FSK to leverage the specific features and smartly mitigate the main drawbacks of each modulation. Such popular schemes are merged in a whole, novel framework, in order to efficiently exploit the time, amplitude and frequency features of the different schemes. The goal is to achieve performance improvements in terms of spectral and power efficiency with respect to pure modulations, providing also a constant illumination level that represents a fundamental requirement in real-world indoor VLC systems.

8.2.2 Reconfigurable Intelligent Metasurfaces

In recent years, mmWave technology has acquired an increasing interest to be exploited in future wireless cellular communications, such as in the sixth generation (6G) network scenarios. Due to the large bandwidth, very high data rates in the order of gigabit per second (Gbps) are expected to be achieved with much increased capacity, as compared to other existing wireless communication systems. Furthermore, since mmWave links present high directionality feature, an efficient spatial and frequency reuse can be obtained, with the possibility to exploit Line-of-Sight (LOS) links that are very beneficial for interference control. However, some important issues related to the specific propagation features of mmWave signal need to be considered and addressed in order to exploit the enormous potentiality of this technology. Among the main challenges with mmWave we remind the significant path loss that the mmWave signals experience, the blockage due to obstacles, the atmospheric attenuation, as well as harsh weather conditions such as rain, absorption by water vapors, and oxygen, that degrade the mmWave channel. Recently, in order to address the main issues of mmWaves technology, the concept of Reconfigurable Intelligent Meta- Surface has been introduced in the research community. Concerning the optimization of RIM-based systems, previous contributions in literature have regarded the feasibility to achieve beamforming based on RIM exploitation, by proposing optimization approaches. Other approaches have been proposed to relax the associated feedback overhead and are mostly based on statistical Channel State Information (CSI) and still relay on channel-state and on channel control to steer the RIM beams. In 13, the main aim is to relax the control channel and the high overhead associated to, by exploiting a pre-existing and well-deployed infrastructure, namely the cameras that are nowadays mas- sively deployed in the modern cities. Basically, we exploit the concept of View to Communicate V2C, by means of a CV- based approach to monitor traffic load in a real network scenario. The CV solution is introduced together with a RIM-based sub-system, performing beam steering func- tionality in the mmWave working frequency. The developed framework, BEST-RIM is evaluated by the means of Monte-Carlo approach, and the impact of the Computer Vision as well as the Genetic Algorithm integrate in the appraoch and used to compute the most suitable solution are evaluated. In 26 we also consider a mmWave RIM-based infrastructure, but we better focus on beem-steering capabilityes. In particular, we propose a novel reconfigurable intelligent metasurface able to perform beam-steering in mmWave frequencies. It has the advantage to be insensitive to the angle of incidence up to 75◦. The control of the direction of beams generated by the metasurface towards a target receiver, is realized by the means of a Particle Swarm Optimization (PSO) algorithm. Finally, our metasurface is placed inside a system including a base station and a mobile receiver and the impact of the interferers on the ability of the metasurface of tracking the user is evaluated.

9.1.1 Associate Teams in the framework of an Inria International Lab or in the framework of an Inria International Program

9.2.1 Visits of international scientists

Riaan Wolhuter spent one week at Inria from Stellenbosch University in September 2023.

Hervé Oulu spent three months at Inria from University of Benin as a visiting PhD student.

Gerardo Hernandez Oregon from Instituto Politécnico Nacional de Mexico spent 6 months at Inria FUN.

9.2.2 Visits to international teams

9.3.1 Horizon Europe

9.3.2 Other european programs/initiatives

GoodFloow

Participants: Damien Wohwe Sambo, Nathalie Mitton.

• Title:
  ADEME GoodFloow Project
• Duration:
  October 2021 - September 2023
• Coordinator:
  GoodFloow
• Inria contact:
  Nathalie Mitton
• Summary:
  The goal of this project, funded by ADEME, is to design a very energy efficient node to manage reusable packaging in a more sustainable way by combining enhanced IA techniques, wake up radio and multi MAC layers.

AutonomousPack

Participants: Damien Wohwe Sambo, Nathalie Mitton.

• Title:
  ADEME Autonomous Pack Project
• Duration:
  September 2023 - August 2026
• Coordinator:
  GoodFloow
• Inria contact:
  Nathalie Mitton
• Summary:
  The goal of this project, funded by ADEME, is to design a very energy efficient node to manage reusable packaging in a more sustainable way by combining enhanced IA techniques, wake up radio and multi MAC layers.

DEPOSIA

Participants: Valeria Loscri.

• Title:
  Detection and geolocation of an illegitimate electromagnetic source with AI
• Duration:
  October 2021 - September 2024
• Coordinator:
  Virginie Deniau
• Inria contact:
  Valeria Loscri
• Summary:
  The ANR project DEPOSIA focuses on the detection and geolocation of various radio frequency signal sources in order to thwart attacks on connected systems and infrastructures. The sources considered are elements which by their characteristics or their position, present an illicit character and which threaten the people security or the infrastructures. For outdoor cases, we consider drones flying over forbidden areas, telecommunication jammers, spoofing signal transmitters or wireless connected sensors used to introduce false data in monitoring platforms. For indoor cases, we also consider jamming or spoofing sources that can cause denial of service within networks or infrastructures, or fake access points that aim to carry out man-in-the-middle attacks to intercept information. In this proposal, the indoor and outdoor use cases are considered separately in order to design monitoring infrastructures adapted to each case. For the outdoor case, we consider a surveillance architecture that could join the already existing cellular or WLAN communication infrastructures. In particular, with 5G technology and the higher employed frequencies, cellular networks are evolving towards finer meshes and have interfaces with the core network at each of their nodes. Thus, these interface points, equipped with receivers dedicated to monitoring, could enable the routing of monitoring data to centralized platforms, feeding an Artificial Intelligence for analysis, anomaly detection and source geolocation. For the indoor case, we consider a distributed monitoring architecture deployed within a building, based on SDR sensors and a data centralization and synchronization network. In these two cases, we envisage an Artificial Intelligence working on data evolving in three dimensions : time, space and direction, all for data of different natures, namely those from the physical layer and the data link layer. Whether for indoor or outdoor configurations, the algorithms that will constitute the Artificial Intelligence will be based on learning approaches that will correspond to Machine Learning and Deep Learning algorithms. These algorithms will deal with the problems of detecting attacks and locating illicit sources. These algorithms will have to take into account: the evolutionary aspect brought by the non-fixed character in time of the attacks and the non-fixed location aspect of the localization of the source of the attack. A first Artificial Intelligence will be dedicated to data analysis and anomaly detection, i.e., highlighting the suspicious nature of the data, and a second Artificial Intelligence will be dedicated to extracting the location information of the attack source. Due to the multi-layered nature of the data, model aggregation algorithms will be deployed in order to homogenize the decision process.

ROAD-AI, common DEFI Inria and Cerema

Participants: Nathalie Mitton.

• Title:
  Routes et ouvrages d'art Diversiformes, Augmentés et intégrés
• Duration:
  July 2021 - June 2024
• Inria contact:
  Nathalie Mitton
• Summary:
  Integrated management of infrastructure assets is an approach which aims at reconciling long-term issues with short-term constraints and operational logic. The main objective is to enjoy more sustainable, safer and more resilient transport infrastructure through effective, efficient and responsible management. To achieve this, CEREMA and Inria are joining forces in this Inria Challenge (DEFI) which main goals are to overcome scientific and technical barriers that lead to the asset management of tomorrow for the benefit of road operators: (i) build a “digital twin” of the road and its environment at the scale of a complete network; (ii) define “laws” of pavement behavior; (iii) instrument system-wide bridges and tunnels and use the data in real time; (iv) define methods for strategic planning of investments and maintenance.

PEPR

The FUN team is involved in PEPR Networks of the future (PC6 and PC7), PEPR Cloud (PC8) and PEPR MobiDec (PC 3).

STIMULE CORTESE

Participants: Valeria Loscri, Selma Yahia.

• Title:
  CORTESE: Intelligent CO-existence of Communication Wireless Technologies for Secure and Intelligent applications
• Duration:
  January 2023 - December 2025
• Inria contact:
  Valeria Loscri
• Summary:
  This project led by the Inria Lille - Nord Europe center and in partnership with the Gustave Eiffel University (UGE), the LAMIH (Université Polytechnique Hauts de France (UPHF)) aims at the coexistence of different wireless communication technologies, in the vehicular context. The objective is to advance in the search for methods based on sustainable Artificial Intelligence (AI) which can automate the selection of the most relevant communication technology to improve performance in terms of latency (i.e., of the order of 1 ms), reliability (i.e., of the order of 99.99% of data delivered) in order to reduce the energy envelope of the communication system and guarantee increased robustness in the face of cyber attacks. Given the high dynamicity of the environment, the learning approaches developed must be capable of responding in real time. Particular attention will be paid to the sustainability and security aspects of wireless communication networks. This project is part of the field of embedded Artificial Intelligence and the new emerging sector of cyber security for critical systems such as the vehicular context. With a clear experimental footprint, this project will advance research in the Hauts-de-France region in 5G technology in a key sector such as Intelligent Transport.

General chair, scientific chair

• Valeria Loscri was organizer and chair of Social networking in Metaverse (SocMeta) Workshop, Rome 2023
• Valeria Loscri was co-organizer and chair of TRUSTNET DAY, Trust and Privacy in Networks, Avignon, June 2023
• Valeria Loscri was co-organizer and chair of 1st Workshop on Underwater Communication, Access and Networking (UCAN), in conjunction with ICC 2023

10.1.1 Scientific events: selection

10.1.2 Journal

10.1.3 Invited talks

• Valeria Loscri was invited speaker at workshop Inria-CISPA, Paris
• Valeria Loscri was invited speaker at 8th Franco-Japanese Cybersecurity workshop, Bordeaux
• Valeria Loscri was invited keynote speaker at ENAC - Toulouse to deliver a talk on How Machine Learning is changing the Cybersecurity landscape in Wireless Communication Networks
• Valeria Loscri was invited keynote speaker at ENAC - Toulouse to deliver a talk on How Machine Learning is changing the Cybersecurity landscape in Wireless Communication Networks
• Valeria Loscri was invited keynote speaker on Machine Learning and Visible Light Communication at the Journées Scientifiques URSI - France
• Valeria Loscri was invited keynote speaker at the PhD Day - INSA Lyon, with a talk on Unconventional Wireless Communication Technologies
• Valeria Loscri invited speaker at Journée Sécurité CRISTAL, with a talk on How Machine Learning is changing the Cybersecurity landscape in Wireless Communication Networks
• Nathalie Mitton was invited keynote at November 2023 CONNECT THEM ALL session.

10.1.4 Scientific expertise

• Valeria Loscri has been appointed as Evaluator Expert for Horizon Europe KDT-JU Program and Horizon Europe 6G SNS-JU Program,
• Valeria Loscri is FWO expert panel member for the PhD fellowship-Fundamental Research and for the Postdoc fellowship-Fundamental Research.
• Nathalie Mitton has been appointed as scientific expert to evaluate projects submitted to ANR, South Africa's National Research Foundation (NRF), NSERC (Canada) and NSC (Poland).
• Nathalie Mitton is an external expert of scientific board for Inrae, IRIT lab and ESISAR.

10.2.1 Teaching

• Master: Valeria Loscri, Objets Communicants, 24h (Mineure Habitat Intelligent), Ecole des Mines de Douai, France
• Master: Nathalie Mitton, Wireless networks, 16h eqTD (Master TC), Université de Lille, France
• Master: Damien Wohwe Sambo, Wireless sensor networks, 16h eqTD (Master IdO), Université de Lille, France
• Master: Adriana Arteaga Arce and Hazem Chaabi, Smart objects, 10h CM + 12h TP, Ecole Centrale de Lille, France
• Master: Adriana Arteaga Arce and Hazem Chaabi, Industrial Internet of Things, 10h CM, Ecole Centrale de Lille, France
• Master: Damien Wohwe Sambo, Industrial to Internet of Things, 4h Cours + 12h TP, Ecole Centrale de Lille, France
• Master: Damien Wohwe Sambo, Wireless sensor networks, 12h eqTD (Master ROC), IMT, France

10.2.2 Supervision

• PhD defended:
  • Nina Santi, adaptive and dynamic edge gateways IoT-oriented deployments, Université de Lille, 2020-2023, defended on December 19, Nathalie Mitton
• PhD in progress:
  • Aymen Bouferroum, vulnerability detection, trust and authentication methods applied to multi-technology communication in Industrial IoT (IIoT), Université de Lille, 2023-2026, Valeria Loscri
  • Selina Cheggour, Cell-free approaches in wireless networks, Université de Lille, 2023-2026, Valeria Loscri
  • Marwa Slimene, Blockchain-based security and audit for ioT and V2X communications, Université de Lille, 2023-2026, Nathalie Mitton
  • Jiali Xu, anomaly and attack detection in intelligent, deep systems with heterogeneous, reprogrammable nodes, Université de Lille, 2023-2026, Valeria Loscri
  • Hazem Chaabi, Adaptive deployment of a distributed wireless monitoring network and edge services using a fleet of wireless robots, Université de Lille, 2022-2025, Nathalie Mitton
  • Ildi Alla, Monitoring for detection and localisation of cyber attacks in wireless networks, Université de Lille, 2022-2025,Valeria Loscri
  • Jana Koteich, Context aware opportunistic forwarding strategy, Université de Lille, 2021-2024, Nathalie Mitton

10.2.3 Juries

PhD committees:

• Valeria Loscri is/was member of the following PhD thesis committees:
  • Ali Haj-Hassan, University of Mons, examiner and secretary.
  • Michaël Mahamat, University of Compiegne, examiner.
  • Abhishek Djeachandrane, University of Paris Est, reviewer.
  • Shuo Li, Centrale Supélec, reviewer
  • Firmin Kateu, University of Toulouse, reviewer
  • Farzad Veisi, University of Strasbourg, reviewer.
  • Khaled Abid, University of Compiegne, reviewer.
  • Alessandro Visentin, University of Padova, reviewer.
  • Chaima Zoghlami, Universiy of Toulouse, reviewer.
  • Chaimaa BOUDAGDIGUE, Univ. of Avignon, reviewer.
  • Sana BENHAMAID, Univ. of Compiegne, reviewer;
  • Bruno CHIANCA, ENAC, Toulouse, reviewer;
• Nathalie Mitton is/was member of the following PhD thesis committees:
  • Debashisha Mishra, Lorraine university, chair
  • Vishaka Basnayake, UTBM, chair
  • Maysaa Khalil, UTT
  • Berat Senet, Sorbonne University, reviewer
  • Ichrak Mokhtari, INSA Lyon, reviewer
  • Ludovic Javet, UVSQ, chair
  • Hugo Hadjur, ENS Lyon, reviewer
  • Jad Bassil, Univ. Bourgogne, chair
  • Razanne Abu-Aisheh, Sorbonne Université, chair and reviewer
  • Hadi Yakan, UVSQ, chair
  • Driss Aouladhaj, UGE, chair
  • Olivier Lourme, Univ. Lille

Researcher selection committees:

• Valeria Loscri is/was member of the following selection committees:
  • Inria Junior Research (CR) committee for Inria Lyon
  • Assistant professor: Université Côte d'Azur, Université de Toulouse
  • National Secondment Committee Inria
• Nathalie Mitton was member of the following selection committees:
  • Inria researcher: vice-chair of the junior researcher committee (CR) for Inria Lille and member of Senior researcher committee (DR2)
  • Professor: Universités de Lorraine.
  • Assistant professor: Université d'Annecy, IMT Lille Nord Europe, Sorbonne University, Université Polytechnique des Hautes de France
  • CPJ : INSA Lyon, Inria Lille

International journals

• 11 articleR.Romeo Giuliano, A. M.Anna Maria Vegni, V.Valeria Loscrì, E.Eros Innocenti, A.Alessandro Vizzarri and F.Franco Mazzenga. MuSLi: a Multi Sensor LiDAR Detection for C-V2X Networks.Computer NetworksJanuary 2023HALback to text
• 12 articleJ.Jana Koteich, C.Christian Salim and N.Nathalie Mitton. Image processing based data reduction technique in WVSN for smart agriculture.ComputingJuly 2023HALDOIback to text
• 13 articleV.Valeria Loscri, C.Carola Rizza, A.Abderrahim Benslimane, A. M.Anna Maria Vegni, E.Eros Innocenti and R.Romeo Giuliano. BEST-RIM: a mmWave Beam Steering Approach based on Computer Vision-enhanced Reconfigurable Intelligent Metasurfaces.IEEE Transactions on Vehicular Technology2023HALback to text
• 14 articleC.Claudio Marche, V.Valeria Loscri and M.Michele Nitti. A Channel Selection Model based on Trust Metrics for Wireless Communications.IEEE Transactions on Network and Service ManagementMay 2023, 1-1HALDOIback to text
• 15 articleA.Andrea Petroni, A.Antonio Costanzo, V.Valeria Loscrì and M.Mauro Biagi. A Novel Optical Wireless Modulation exploiting Time, Frequency and Amplitude divisions enabling Link and Illumination Reliability.IEEE Transactions on Wireless CommunicationsJuly 2023HALDOIback to text
• 16 articleE.Edward Staddon, V.Valeria Loscri and N.Nathalie Mitton. A consensus-based approach to reputational routing in multi-hop networks.ITU Journal on Future and Evolving Technologies2023HALback to text
• 17 articleA. M.Anna Maria Vegni, C.Claudia Leoni, V.Valeria Loscri and A.Abderrahim Benslimane. A Reputation-based Trustworthiness Concept for Wireless Networking in Vehicular Social Networks.IEEE Communications MagazineSeptember 2023HALback to text
• 18 articleB.Bingying Wang, J.Jun Zheng, N.Nathalie Mitton and C.Cheng Li. InP-CRS: an Intra-Platoon Cooperative Resource Selection Scheme for C-V2X Networks.IEEE Communications LettersOctober 2023HALback to text
• 19 articleD.Damien Wohwe Sambo, J.Jens Dede, N.Nathalie Mitton and A.Anna Förster. FuzDeMa: A portable Fuzzy-based Decision-Making tool for reliable communication in Wireless Underground Sensor Networks.ITU Journal on Future and Evolving Technologies432023, 419-433HALDOIback to text
• 20 articleC.Chaima Zidi, P.Patrick Sondi, N.Nathalie Mitton, M.Martine Wahl and A.Ahmed Meddahi. Review and Perspectives on the Audit of Vehicle-to-Everything Communications.IEEE Access11August 2023, 81623-81645HALDOIback to text

International peer-reviewed conferences

• 21 inproceedingsE.Emilie Bout, V.Valentin Bout, A.Alessandro Brighente, M.Mauro Conti and V.Valeria Loscri. Evaluation of Channel Hopping Strategies Against Smart Jamming Attacks.IEEE International Conference on CommunicationsIEEE ICC 2023 - IEEE International Conference on CommunicationsRome, ItalyMay 2023HALback to text
• 22 inproceedingsN. E.Nour El Hoda Djidi, D.Damien Wohwe Sambo, M.Matthieu Gautier, O.Olivier Berder and N.Nathalie Mitton. WUBBLE: Energy Efficient BLE Neighborhood Discovery Leveraging Wake-up Radio.Algorithmics of Wireless Networks, 19th International Symposium on Algorithmics of Wireless Networks (ALGOWIN 2023)Algorithmics of Wireless Networks, 19th International Symposium on Algorithmics of Wireless Networks (ALGOWIN 2023)Amsterdam, NetherlandsAugust 2023HALback to text
• 23 inproceedingsB.Brandon Foubert, C.Christian Salim and N.Nathalie Mitton. Chained estimation for data reduction-driven routing in wireless sensor networks.WiMob 2023 - 19th International Workshop on Selected Topics in Wireless and Mobile computingWiMob 2023 - 19th International Workshop on Selected Topics in Wireless and Mobile computingMontreal, CanadaJune 2023HALback to text
• 24 inproceedingsJ.Jana Koteich and N.Nathalie Mitton. Machine Learning Approach for Mobility Context Classification using Radio Beacons.Proc of 31st International Symposium on the Modeling, Analysis, and Simulation of Computerand Telecommunication SystemsMASCOTS2023 IEEENew York, United StatesOctober 2023HALback to textback to text
• 25 inproceedingsF.-X.Francois-Xavier Molina, V.Vincent Roca, R.Roudy Dagher, E.Emmanuel Baccelli, N.Nathalie Mitton, A.Antoine Boutet and M.Mathieu Cunche. PEPPER: Precise Privacy-Preserving Contact Tracing with Cheap, BLE/UWB Capable Tokens.WoWMoM 2023 - 24th IEEE International Symposium on a World of Wireless, Mobile and Multimedia NetworksBoston, United StatesIEEEJune 2023, 1-10HALback to text
• 26 inproceedingsC.Carola Rizza and V.Valeria Loscri. AIRISC -A mmWave Angle-Insensitive Reconfigurable Intelligent Surface Communication System.International Conference on Embedded Wireless Systems and Networks (EWSN)Rende, ItalySeptember 2023HALback to text
• 27 inproceedingsB.Bingying Wang, N.Nathalie Mitton and J.Jun Zheng. PreZcast: A Preferred-Zone Based Broadcast Protocol for Urban Areas of VANETs.IEEE ICC 2023 - IEEE International Conference on CommunicationsRoma, ItalyMay 2023HALback to text

National peer-reviewed Conferences

• 28 inproceedingsJ.Jana Koteich and N.Nathalie Mitton. PILOT Dataset: A Collection of Multi-Communication Technologies in Different Mobility Contexts.CoRes 2023 - 8th Francophone Meeting on Protocol Design, Performance Evaluation and Communication Network ExperimentationCoRes 2023 - 8th Francophone Meeting on Protocol Design, Performance Evaluation and Communication Network ExperimentationCargese, FranceMay 2023HALback to textback to text