Fabrice Theoleyre

Dr. Fabrice Theoleyre

CNRS, 3 Rue Michel Ange, 75016 Paris, France
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Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 October 2022 in Future Internet
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Journal Article
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EMErfan Mozaffariahrar
Erfan Mozaffariahrar
Fabrice TheoleyreFabrice Theoleyre
Fabrice Theoleyre
Michael MenthMichael Menth
Michael Menth
Wi-Fi is a popular wireless technology and is continuously extended to keep pace with requirements such as high throughput, real-time communication, dense networks, or resource and energy efficiency. The IEEE 802.11ax standard, also known as Wi-Fi 6, promises to provide data rates of up to almost 10 Gb/s, lower energy consumption, and higher reliability. Its capabilities go far beyond Wi-Fi 5 (802.11ac) and novel technical concepts have been introduced for this purpose. As such, the Wi-Fi 6 standard includes Multi-User Orthogonal Frequency Division Multiple Access (MU OFDMA), Multi-User Multiple-Input Multiple-Output (MU MIMO), new mechanisms for Spatial Reuse (SR), new mechanisms for power saving, higher-order modulation, and additional minor improvements. In this paper, we provide a survey of Wi-Fi 6. Initially, we provide a compact technological summary of Wi-Fi 5 and its predecessors. Then, we discuss the potential application domains of Wi-Fi 6, which are enabled through its novel features. Subsequently, we explain these features and review the related works in these areas. Finally, performance evaluation tools for Wi-Fi 6 and future roadmaps are discussed.

1 June 2015 in Ad Hoc Networks
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Journal Article
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OIOana Iova
Oana Iova
Fabrice TheoleyreFabrice Theoleyre
Fabrice Theoleyre
TNThomas Noel
Thomas Noel

1 December 2017 in Computer Communications
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Journal Article
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RHRodrigo Teles Hermeto
Rodrigo Teles Hermeto
AGAntoine Gallais
Antoine Gallais
Fabrice TheoleyreFabrice Theoleyre
Fabrice Theoleyre

31 October 2011
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Conference Paper
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BPBogdan Pavković
Bogdan Pavković
Fabrice TheoleyreFabrice Theoleyre
Fabrice Theoleyre
ADAndrzej Duda
Andrzej Duda
Session: Opportunistic networks and routingInternational audienceWe consider the problem of running RPL on top of the IEEE 802.15.4 MAC layer--the two layers operate over two different structures, a directed acyclic graph in the case of RPL and a cluster-tree for ieee 802.15.4. We propose to adapt the cluster-tree of ieee 802.15.4 so that it can efficiently work coupled with RPL. Nodes in our modified cluster-tree can associate with several parent nodes by tak- ing advantage of an adequate organization of superframes at the MAC layer. Building on this modified MAC layer, we define an opportunistic forwarding scheme that extends RPL with the possibility of forwarding packets over multiple paths. Instead of always using a preferred parent, a node opportunistically forwards packets through other parents as long as their routes towards the sink are better. We take ad- vantage of the opportunistic forwarding to support higher- priority delay-sensitive alarms that need to arrive in sink before a given deadline along with low-intensity monitoring data considered as best-effort. We compare our opportunistic version of RPL to its basic version through detailed simulations in terms of packet delivery ratio, incurred delay, and overhead

1 September 2013
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Conference Paper
Closed access
OIOana Iova
Oana Iova
Fabrice TheoleyreFabrice Theoleyre
Fabrice Theoleyre
TNThomas Noel
Thomas Noel
The IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) is one of the emerging routing standards for multihop Wireless Sensor Networks (WSN). RPL is based on the construction of a Destination-Oriented Directed Acyclic Graph (DODAG), which offers a loop-free topology to route data packets. While several routing metrics have been proposed in the literature, it is unclear how they perform with RPL. In this paper, we analyze the impact of different PHY and MAC metrics on the stability and efficiency of RPL. We highlight the fact that realistic conditions lead to instabilities and oscillations in the routing structure. While minimizing the hop length leads to a stable but poor routing structure, more sophisticated link metrics such as ETX reflect more clearly the radio link quality but increase the number of DODAG reconfigurations. We also provided a detailed methodology to measure the DODAG stability and to implement efficiently each routing metric with RPL.

19 May 2020 in IEEE Internet of Things Journal
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Journal Article
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VKVasileios Kotsiou
Vasileios Kotsiou
GGeorgios Z. Papadopoulos
Georgios Z. Papadopoulos
Periklis ChatzimisiosPeriklis Chatzimisios
Periklis Chatzimisios
Fabrice TheoleyreFabrice Theoleyre
Fabrice Theoleyre
The Industrial Internet of Things (IIoT) is expected to be a key enabler for the Industry 4.0. However, networked control automation often requires high reliability and a bounded latency to react properly. Thus, modern wireless protocols for industrial networks, such as IEEE 802.15.4-2015 Time Slotted Channel Hopping (TSCH), rely on a strict schedule of the transmissions to avoid collisions and to make the end-to-end traffic deterministic. Unfortunately, guaranteeing a bounded end-to-end latency is particularly challenging since transmissions have to be temporally chained. Even worse, potential degradation of the link quality may result in reconstructing the whole TSCH schedule along the path. In this article, we propose the Low-latency Distributed Scheduling Function (LDSF) that relies on the organization of the slotframe in smaller parts, called blocks. Each transmitter selects the right set of blocks, depending on its hop distance from the border router, so that retransmission opportunities are automatically scheduled. To save energy, a node can still turn off its radio as soon as its packet is correctly acknowledged. Our mathematical analysis as well as our simulation evaluation show the efficiency of the proposed LDSF algorithm compared to three state-of-the-art scheduling functions, the Minimal Scheduling Function (MSF), Low Latency Scheduling Function (LLSF) and Stratum.