Demo Data from EDBT 2026 / reviewers in the wild / expert
Tobias Kuonen
dblp:346/2422
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0002-2464-0355ORCID · reported
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 · 50% Network management and operations · 50% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network management and operations › network robustness › fault tolerance
fault-tolerant networks |
0.7 | 1 | 2023 | Hydra: Concurrent Coordination for Fault-tolerant Networking · IPSN 2023 |
Internet of things and sensor networks
wireless sensor network |
0.7 | 1 | 2023 | Hydra: Concurrent Coordination for Fault-tolerant Networking · IPSN 2023 |
Distributed systems
consensus |
0.7 | 1 | 2023 | Hydra: Concurrent Coordination for Fault-tolerant Networking · IPSN 2023 |
Methods — techniques the papers use, named apart from their topics
synchronization · 1.3scheduling · 1.3distributed consensus algorithm · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Hydra: Concurrent Coordination for Fault-tolerant NetworkingabstractLow-power wireless networks have the potential to enable applications that are of great importance to industry and society. However, existing network protocols do not meet the dependability requirements of many scenarios as the failure of a single node or link can completely disrupt communication and take significant time and energy to recover. This paper presents Hydra, a low-power wireless protocol that guarantees robust communication despite arbitrary node and link failures. Unlike most existing deterministic protocols, Hydra steers clear of centralized coordination to avoid a single point of failure. Instead, all nodes are equivalent in terms of protocol logic and configuration, performing coordination tasks such as synchronization and scheduling concurrently. This concept of concurrent coordination relies on a novel distributed consensus algorithm that yields provably unique decisions with low delay and energy overhead. In addition to a theoretical analysis, we evaluate Hydra in a multi-hop network of 23 nodes. Our experiments demonstrate that Hydra withstands random node failures without increasing coordination overhead and that it re-establishes efficient and reliable data exchange within seconds after a major disruption. Andreas Biri, Reto Da Forno, Tobias Kuonen, Fabian Mager, Marco Zimmerling, Lothar Thiele |
IPSN | 3 |