Demo Data from EDBT 2026 / reviewers in the wild / expert
Mathieu Michel
dblp:133/3846
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Internet of things and sensor networks · 44% Routing and switching · 44% Wireless networking · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Routing and switching › wireless routing
AODV |
0.2 | 1 | 2013 | Impact of a sleep schedule on the AODV convergence time in WSNs · INFOCOM 2013 |
Internet of things and sensor networks › wireless sensor network
wireless sensor network routing |
0.2 | 1 | 2013 | Impact of a sleep schedule on the AODV convergence time in WSNs · INFOCOM 2013 |
Wireless networking › medium access control › energy-efficient MAC
duty-cycled MAC |
0.0 | 1 | 2013 | Impact of a sleep schedule on the AODV convergence time in WSNs · INFOCOM 2013 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Predictable MAC-level Performance in Low-power Wireless under Interference
Mathieu Michel, Thiemo Voigt, Luca Mottola, Nicolas Tsiftes, Bruno Quoitin |
EWSN | 1 |
| 2015 | Load-Balanced Data Collection through Opportunistic RoutingabstractWireless Sensor Networks performing low-power data collection often suffer from uneven load distribution among nodes. Nodes close to the network root typically face a higher load, see their battery deplete first, and become prematurely unable to operate (both sensing and relaying other nodes' data). We argue that opportunistic routing, by making forwarding decision on a per-packet basis and at the receiver rather than the sender, has the potential to better balance the load across nodes. We extend ORPL, an opportunistic version of the standard routing protocol RPL, with support for load-balancing. In our protocol, ORPL-LB, nodes continuously adapt their wake-up interval in order to adjust their availability and attain a deployment-specific target duty cycle. We implement our protocol in Contikiand present our experimental validation in Indriya, a 93-nodestestbed. Our results show that ORPL-LB reduces significantly(by approximately 40%) the worst node's duty cycle, with little or no impact on packet delivery ratio and latency. Mathieu Michel, Simon Duquennoy, Bruno Quoitin, Thiemo Voigt |
DCOSS | 1 |
| 2013 | Impact of a sleep schedule on the AODV convergence time in WSNsabstractAs part of a search for a better understanding of MAC/routing interactions in Wireless Sensor Networks, this paper presents an analysis of the behaviour of the AODV routing protocol when combined with a duty-cycle MAC protocol. In particular, the paper focuses on the time it takes for a route request to be answered in presence of increased latency due to the MAC protocol sleep schedule. The paper quantifies how the response time varies with the duty-cycle ratio. Moreover, recommendations are provided to enhance this response time. Mathieu Michel, Bruno Quoitin |
INFOCOM | 1 |