Abstract
A typical application scenario related to the Internet of
Things consists of smart sensing devices collecting and
transmitting measurement data from their surroundings to
a back-end. Efficiently deploying such devices on the
field for the purposes of such applications is not a
trivial task. Deployment of current IoT and sensor
solutions on the field are often time consuming and
inconvenient. Setup and configuration of both wireless
and wired solutions require know-how, training and time
from the person carrying out the deployment of the
devices. In order for the rising amount of IoT-based
solutions to break into wider usage, a solution for quick
and easy deployment is needed that is both
easy-to-understand and configuration free. In this work,
a proposed solution for rapid deployment of IoT devices
is prototyped and presented.
Original language | English |
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Title of host publication | Ubiquitous Computing and Ambient Intelligence |
Subtitle of host publication | UCAmI 2016, IWAAL 2016, AmIHEALTH 2016 |
Editors | Carmelo R. García, Pino Caballero-Gil, Mike Burmester, Alexis Quesada-Arencibia |
Publisher | Springer |
Pages | 275-283 |
Volume | 2 |
ISBN (Electronic) | 978-3-319-48799-1 |
ISBN (Print) | 978-3-319-48798-4 |
DOIs | |
Publication status | Published - 3 Nov 2016 |
MoE publication type | A4 Article in a conference publication |
Event | 10th International Conference on Ubiquitous Computing and Ambient Intelligence International Workshop on Ambient Assisted Living Ambient Intelligence for Health: IWAAL, International Workshop on Ambient Assisted Living - San Bartolomé de Tirajana, Canary Islands, Spain Duration: 29 Nov 2016 → 2 Dec 2016 Conference number: 10 |
Publication series
Series | Lecture Notes in Computer Science |
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Volume | 10070 |
Conference
Conference | 10th International Conference on Ubiquitous Computing and Ambient Intelligence International Workshop on Ambient Assisted Living Ambient Intelligence for Health |
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Abbreviated title | UCAml 2016, IWAAL, AmIHEALTH |
Country/Territory | Spain |
City | Canary Islands |
Period | 29/11/16 → 2/12/16 |
Keywords
- Iot
- sensors
- deployment
- software
- mobile