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Henoc Agbota

dblp:15/4592 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › wireless sensor network › duty cycling
adaptive duty cycling
0.112006
Responsive and energy-efficient sensor networking for real time location tracking · SenSys 2006
Wireless networking
medium access control
0.112006
Responsive and energy-efficient sensor networking for real time location tracking · SenSys 2006
Internet of things and sensor networks
wireless sensor network
0.112006
Responsive and energy-efficient sensor networking for real time location tracking · SenSys 2006
Wireless sensing and localization › ranging
acoustic ranging
0.012005
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
YearPublicationVenuePosition
2006 Responsive and energy-efficient sensor networking for real time location tracking
abstract
A 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
SenSys1
2005 A relative positioning system for co-located mobile devices
abstract
If 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
MobiSys4