A rapid deployment solution prototype for IoT devices

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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 languageEnglish
Title of host publicationUbiquitous Computing and Ambient Intelligence
Subtitle of host publicationUCAmI 2016, IWAAL 2016, AmIHEALTH 2016
EditorsCarmelo R. García, Pino Caballero-Gil, Mike Burmester, Alexis Quesada-Arencibia
PublisherSpringer
Pages275-283
Volume2
ISBN (Electronic)978-3-319-48799-1
ISBN (Print)978-3-319-48798-4
DOIs
Publication statusPublished - 3 Nov 2016
MoE publication typeA4 Article in a conference publication
Event10th 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 20162 Dec 2016
Conference number: 10

Publication series

SeriesLecture Notes in Computer Science
Volume10070

Conference

Conference10th International Conference on Ubiquitous Computing and Ambient Intelligence
International Workshop on Ambient Assisted Living
Ambient Intelligence for Health
Abbreviated titleUCAml 2016, IWAAL, AmIHEALTH
CountrySpain
CityCanary Islands
Period29/11/162/12/16

Fingerprint

Internet of things
Sensors

Keywords

  • Iot
  • sensors
  • deployment
  • software
  • mobile

Cite this

Iivari, A., Koivusaari, J., & Ailisto, H. (2016). A rapid deployment solution prototype for IoT devices. In C. R. García, P. Caballero-Gil, M. Burmester, & A. Quesada-Arencibia (Eds.), Ubiquitous Computing and Ambient Intelligence: UCAmI 2016, IWAAL 2016, AmIHEALTH 2016 (Vol. 2, pp. 275-283). Springer. Lecture Notes in Computer Science, Vol.. 10070 https://doi.org/10.1007/978-3-319-48799-1_32
Iivari, Antti ; Koivusaari, Jani ; Ailisto, Heikki. / A rapid deployment solution prototype for IoT devices. Ubiquitous Computing and Ambient Intelligence: UCAmI 2016, IWAAL 2016, AmIHEALTH 2016. editor / Carmelo R. García ; Pino Caballero-Gil ; Mike Burmester ; Alexis Quesada-Arencibia. Vol. 2 Springer, 2016. pp. 275-283 (Lecture Notes in Computer Science, Vol. 10070).
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Iivari, A, Koivusaari, J & Ailisto, H 2016, A rapid deployment solution prototype for IoT devices. in CR García, P Caballero-Gil, M Burmester & A Quesada-Arencibia (eds), Ubiquitous Computing and Ambient Intelligence: UCAmI 2016, IWAAL 2016, AmIHEALTH 2016. vol. 2, Springer, Lecture Notes in Computer Science, vol. 10070, pp. 275-283, 10th International Conference on Ubiquitous Computing and Ambient Intelligence
International Workshop on Ambient Assisted Living
Ambient Intelligence for Health, Canary Islands, Spain, 29/11/16. https://doi.org/10.1007/978-3-319-48799-1_32

A rapid deployment solution prototype for IoT devices. / Iivari, Antti; Koivusaari, Jani; Ailisto, Heikki.

Ubiquitous Computing and Ambient Intelligence: UCAmI 2016, IWAAL 2016, AmIHEALTH 2016. ed. / Carmelo R. García; Pino Caballero-Gil; Mike Burmester; Alexis Quesada-Arencibia. Vol. 2 Springer, 2016. p. 275-283 (Lecture Notes in Computer Science, Vol. 10070).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Iivari A, Koivusaari J, Ailisto H. A rapid deployment solution prototype for IoT devices. In García CR, Caballero-Gil P, Burmester M, Quesada-Arencibia A, editors, Ubiquitous Computing and Ambient Intelligence: UCAmI 2016, IWAAL 2016, AmIHEALTH 2016. Vol. 2. Springer. 2016. p. 275-283. (Lecture Notes in Computer Science, Vol. 10070). https://doi.org/10.1007/978-3-319-48799-1_32