Florian Menne

dblp:318/0852 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › wireless sensor network
energy-efficient communication
0.612022
Low-Power and Low-Delay WLAN Using Wake-Up Receivers · IEEE Trans. Mob. Comput. 2022
Wireless networking › WLAN
IEEE 802.11
0.612022
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
0.612022
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
0.612022
Low-Power and Low-Delay WLAN Using Wake-Up Receivers · IEEE Trans. Mob. Comput. 2022
Wireless networking
WLAN
0.612022
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
0.212022
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
YearPublicationVenuePosition
2022 Low-Power and Low-Delay WLAN Using Wake-Up Receivers
abstract
Energy-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