Demo Data from EDBT 2026 / reviewers in the wild / expert
Henoc Agbota
dblp:15/4592
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 1 first-author
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 · 56% Wireless networking · 28% Wireless sensing and localization · 16% | |
| Human-computer interaction and pervasive computing
1 paper |
Ubiquitous computing and smart environments · 100% |
Topics — the 4 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › wireless sensor network › duty cycling
adaptive duty cycling |
0.1 | 1 | 2006 | Responsive and energy-efficient sensor networking for real time location tracking · SenSys 2006 |
Wireless networking
medium access control |
0.1 | 1 | 2006 | Responsive and energy-efficient sensor networking for real time location tracking · SenSys 2006 |
Internet of things and sensor networks
wireless sensor network |
0.1 | 1 | 2006 | Responsive and energy-efficient sensor networking for real time location tracking · SenSys 2006 |
Wireless sensing and localization › ranging
acoustic ranging |
0.0 | 1 | 2005 | A relative positioning system for co-located mobile devices · MobiSys 2005 |
Methods — techniques the papers use, named apart from their topics
ultrasound sensing · 0.1spatial modeling · 0.1sensor data inferencing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Responsive and energy-efficient sensor networking for real time location trackingabstractA large number of MAC protocols support energy efficiency in sensor networks by forming rigid sleep/wakeup schedules. This demonstration illustrates an energy-efficient protocol which adapts to changing sensor update rates, as required by certain application scenarios such as real time location tracking. Henoc Agbota, Mike Hazas |
SenSys | 1 |
| 2005 | A relative positioning system for co-located mobile devicesabstractIf a mobile computing device knows how it is positioned and oriented in relation to other devices nearby, then it can provide enhanced support for multi-device and multi-user interactions. Existing systems that provide position information to mobile computers are reliant on externally deployed infrastructure, such as beacons or sensors in the environment. We introduce the Relate system, which provides fine-grained relative position information to co-located devices on the basis of peer-to-peer sensing, thus overcoming dependence on any external infrastructure. The system is realised as a hardware/software plug-in, using ultrasound for peer-to-peer sensing, USB to interface with standard mobile devices, and data abstraction and inferencing to map sensor data to a spatial model that maintains both quantitative and qualitative relationships. We present a set of services and applications to demonstrate the utility of the system. We report experimental results on the accuracy of the relative position and orientation estimates, and other aspects of system performance. Mike Hazas, Christian Kray, Hans-Werner Gellersen, Henoc Agbota, Gerd Kortuem, Albert Krohn |
MobiSys | 4 |