EDBT 2026 Demo / reviewers in the wild / expert
Florian Menne
dblp:318/0852
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021
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 · 60% Wireless networking · 40% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Energy-efficient computing · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › wireless sensor network
energy-efficient communication |
0.6 | 1 | 2022 | Low-Power and Low-Delay WLAN Using Wake-Up Receivers · IEEE Trans. Mob. Comput. 2022 |
Wireless networking › WLAN
IEEE 802.11 |
0.6 | 1 | 2022 | Low-Power and Low-Delay WLAN Using Wake-Up Receivers · IEEE Trans. Mob. Comput. 2022 |
Internet of things and sensor networks › wireless sensor network
wake-up radio |
0.6 | 1 | 2022 | Low-Power and Low-Delay WLAN Using Wake-Up Receivers · IEEE Trans. Mob. Comput. 2022 |
Internet of things and sensor networks › low-power wireless
wake-up receiver |
0.6 | 1 | 2022 | Low-Power and Low-Delay WLAN Using Wake-Up Receivers · IEEE Trans. Mob. Comput. 2022 |
Wireless networking
WLAN |
0.6 | 1 | 2022 | Low-Power and Low-Delay WLAN Using Wake-Up Receivers · IEEE Trans. Mob. Comput. 2022 |
Energy-efficient computing › power management › low-power mode management
duty cycling |
0.2 | 1 | 2022 | Low-Power and Low-Delay WLAN Using Wake-Up Receivers · IEEE Trans. Mob. Comput. 2022 |
Methods — techniques the papers use, named apart from their topics
simulation · 1.1hardware prototype · 1.1analytical modeling · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Low-Power and Low-Delay WLAN Using Wake-Up ReceiversabstractEnergy-efficient communication technologies are a key enabler for many IoT applications. Many existing communication protocols are based on duty-cycling techniques, that have an inherent tradeoff between delay and energy consumption. In the field of sensor networks, wake-up receivers have been investigated to overcome these problems and to further reduce energy consumption. We now go one step further and investigate the use of wake-up receivers in combination with IEEE 802.11 WLAN. We extend the protocol used to communicate between the access point and the client to introduce a wake-up signal. This can be implemented in a way that is fully compatible with existing wireless LAN (WLAN) standards, thus, it can be deployed gradually with little effort and no need to change existing systems. As a proof of concept and to perform first lab experiments, we developed a hardware prototype using a selective wake-up receiver and off-the-shelf USB-WLAN dongles. All experimental results are verified using an analytical model and a detailed simulation study. We show that our wake-up WLAN can provide connectivity for low-power devices with low delays and low energy consumption at the same time. Johannes Blobel, Florian Menne, Dongxiao Yu, Xiuzhen Cheng, Falko Dressler |
IEEE Trans. Mob. Comput. | 2 |