EDBT 2026 Demo / reviewers in the wild / expert
Patrick Schuster
dblp:268/1612
· DBLP profile ↗
2ranked-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 · 1Applied, interdisciplinary, general and emerging computing · 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
2 papers |
Internet of things and sensor networks · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Distributed systems · 65% Electronic design automation · 35% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks
time synchronization |
0.9 | 2 | 2021 | Cluster-Based Network Time Synchronization for Resilience with Energy Efficiency · RTSS 2021 Poster Abstract: C-Sync: The Resilient Time Synchronization Protocol · IPSN 2020 |
Internet of things and sensor networks › wireless sensor network
energy-efficient communication |
0.5 | 1 | 2021 | Cluster-Based Network Time Synchronization for Resilience with Energy Efficiency · RTSS 2021 |
Internet of things and sensor networks › reliability
failure resilience |
0.5 | 1 | 2021 | Cluster-Based Network Time Synchronization for Resilience with Energy Efficiency · RTSS 2021 |
Internet of things and sensor networks › security
byzantine fault tolerance |
0.4 | 1 | 2020 | Poster Abstract: C-Sync: The Resilient Time Synchronization Protocol · IPSN 2020 |
Distributed systems
fault tolerance |
0.3 | 2 | 2021 | Cluster-Based Network Time Synchronization for Resilience with Energy Efficiency · RTSS 2021 Poster Abstract: C-Sync: The Resilient Time Synchronization Protocol · IPSN 2020 |
Electronic design automation › hardware verification and test › fault diagnosis
fault detection and isolation |
0.1 | 1 | 2021 | Cluster-Based Network Time Synchronization for Resilience with Energy Efficiency · RTSS 2021 |
Methods — techniques the papers use, named apart from their topics
clustering protocol · 0.9byzantine fault tolerance · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Cluster-Based Network Time Synchronization for Resilience with Energy EfficiencyabstractTime synchronization of devices in Internet-of-Things (IoT) networks is one of the challenging problems and a pre-requisite for the design of low-latency applications. Although many existing solutions have tried to address this problem, almost all solutions assume all the devices (nodes) in the network are faultless. Furthermore, these solutions exchange a large number of messages to achieve synchronization, leading to significant communication and energy overhead. To address these short-comings, we propose C-sync, a clustering-based decentralized time synchronization protocol that provides resilience against several types of faults with energy-efficient communication. C-sync achieves scalability by introducing multiple reference nodes in the network that restrict the maximum number of hops any node can have to its time source. The protocol is designed with a modular structure on the Contiki platform to allow application transitions. We evaluate C-sync on a real testbed that comprises over 40 Tmote Sky hardware nodes distributed across different levels in a building and show through experiments the fault resilience, energy efficiency, and scalability of the protocol. C-sync detects and isolates faults to a cluster and recovers quickly. The evaluation makes a qualitative comparison with state-of-the-art protocols and a quantitative comparison with a class of decentralized protocols (derived from GTSP) that provide synchronization with no/limited fault-tolerance. Results also show a reduction of 56.12% and 75.75% in power consumption in the worst-case and best-case scenarios, respectively, compared to GTSP, while achieving similar accuracy. Nitin Shivaraman, Patrick Schuster, Saravanan Ramanathan, Arvind Easwaran, Sebastian Steinhorst |
RTSS | 2 |
| 2020 | Poster Abstract: C-Sync: The Resilient Time Synchronization ProtocolabstractTime synchronization is paramount for communication in Internet of Things (IoT) networks. Existing synchronization protocols in the IoT are designed to be accurate, energy-efficient and scalable with absolute trust on the time source(s). If a byzantine node becomes a time source, it can cause synchronization errors with false time, leading to system mal-functions or network crashes. In this paper, we introduce C-Sync: a clustering time synchronization protocol for decentralized IoT networks that incorporates resilience against byzantine nodes. We show that C-sync achieves a worst-case synchronization accuracy of a few tens of microseconds (µs). Nitin Shivaraman, Patrick Schuster, Saravanan Ramanathan, Arvind Easwaran, Sebastian Steinhorst |
IPSN | 2 |