Demo Data from VLDB 2026 / reviewers in the wild / expert
Armand Naessens
dblp:305/9249
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—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 · 61% Wireless networking · 39% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking › mobile ad hoc networks
multi-hop communication |
0.5 | 1 | 2021 | Algorithm for Distributed Duty Cycle Adherence in Multi-Hop RPL Networks · SenSys 2021 |
Internet of things and sensor networks › low-power wireless › low-power and lossy networks
RPL |
0.5 | 1 | 2021 | Algorithm for Distributed Duty Cycle Adherence in Multi-Hop RPL Networks · SenSys 2021 |
Internet of things and sensor networks
wireless sensor network |
0.5 | 1 | 2021 | Algorithm for Distributed Duty Cycle Adherence in Multi-Hop RPL Networks · SenSys 2021 |
Wireless networking › cognitive radio
spectrum access |
0.1 | 1 | 2021 | Algorithm for Distributed Duty Cycle Adherence in Multi-Hop RPL Networks · SenSys 2021 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.5distributed algorithm · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Algorithm for Distributed Duty Cycle Adherence in Multi-Hop RPL NetworksabstractWireless Sensor Networks (WSNs) operating in unlicensed frequency bands or employing battery-less devices, require a Duty Cycle (DC) limit to ensure fair spectrum access or limit energy consumption. However, in multi-hop networks, it is up to the network protocol to ensure that all devices comply with such DC restrictions. We therefore developed a distributed DC adherence algorithm that limits the DC of all devices without introducing any additional packet overhead. This paper presents a brief description of the algorithm and evaluates its performance through simulation. Our results show that the algorithm can limit the DC of all devices to ensure no devices must switch off. Our algorithm therefore provides a solution for WSNs where nodes must operate below a DC limit. Dries Van Leemput, Armand Naessens, Robbe Elsas, Jeroen Hoebeke, Eli De Poorter |
SenSys | 2 |