Demo Data from EDBT 2026 / reviewers in the wild / expert
Saeed Nourizadeh Azar
dblp:186/1097
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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 · 67% Wireless networking · 33% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › underwater sensor networks › underwater communication
acoustic communication |
0.3 | 1 | 2017 | Work-in-Progress: Networked Control of Autonomous Underwater Vehicles with Acoustic and Radio Frequency Hybrid Communication · RTSS 2017 |
Wireless networking › wireless transmission
radio frequency communication |
0.3 | 1 | 2017 | Work-in-Progress: Networked Control of Autonomous Underwater Vehicles with Acoustic and Radio Frequency Hybrid Communication · RTSS 2017 |
Internet of things and sensor networks › underwater sensor networks
underwater communication |
0.3 | 1 | 2017 | Work-in-Progress: Networked Control of Autonomous Underwater Vehicles with Acoustic and Radio Frequency Hybrid Communication · RTSS 2017 |
Embedded and real-time systems
cyber-physical system platforms |
0.1 | 1 | 2017 | Work-in-Progress: Networked Control of Autonomous Underwater Vehicles with Acoustic and Radio Frequency Hybrid Communication · RTSS 2017 |
Embedded and real-time systems
networked control systems |
0.1 | 1 | 2017 | Work-in-Progress: Networked Control of Autonomous Underwater Vehicles with Acoustic and Radio Frequency Hybrid Communication · RTSS 2017 |
Methods — techniques the papers use, named apart from their topics
hybrid communication · 0.6control theory · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Work-in-Progress: Networked Control of Autonomous Underwater Vehicles with Acoustic and Radio Frequency Hybrid CommunicationabstractUnderwater control applications, such as control of Autonomous Underwater Vehicles (AUV)s, have recently gained significant interest, and there is a growing demand for high-speed wireless communication between AUVs and base station. Acoustic communication provides low data rates and high propagation delays, both of which are not suitable for employing high control gains for the navigation of AUVs. On the other hand, Radio Frequency (RF) communication provides high data rate, but it is constrained by high attenuation due to high conductivity and permittivity of water resulting in a short working range. In this work, we propose an underwater networked control system with acoustic and RF hybrid communication, where an acoustic link is employed for long range communication and RF link is applied in close range. Our performance results indicate that the acoustic and RF hybrid communication system takes up to 38.5% less time to dock, up to 91% smaller steady state error and spends up to 39% lower communication energy as compared to the acoustic only system at the expense of up to 22.35% higher motive energy. Mehrullah Soomro, Saeed Nourizadeh Azar, Özgür Gürbüz, Ahmet Onat |
RTSS | 2 |