INCOME - Multi-scale context management for the internet of things

Jean Paul Arcangeli; Amel Bouzeghoub; Valérie Camps; Marie Françoise Canut; Sophie Chabridon; Denis Conan; Thierry Desprats; Romain Laborde; Emmanuel Lavinal; Sébastien Leriche; Hervé Maurel; André Péninou; Chantal Taconet; Pascale Zaraté

doi:10.1007/978-3-642-34898-3_25

INCOME - Multi-scale context management for the internet of things

Jean Paul Arcangeli
, Amel Bouzeghoub
, Valérie Camps
, Marie Françoise Canut
, Sophie Chabridon
, Denis Conan
, Thierry Desprats
, Romain Laborde
, Emmanuel Lavinal
, Sébastien Leriche
, Hervé Maurel
, André Péninou
, Chantal Taconet
, Pascale Zaraté

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Nowadays, context management solutions in ambient networks are well-known. However, with the IoT paradigm, ambient information is not anymore the only source of context. Context management solutions able to address multiple network scales ranging from ambient networks to the Internet of Things (IoT) are required. We present the INCOME project whose goal is to provide generic software and middleware components to ease the design and development of mass market context-aware applications built above the Internet of Things. By revisiting ambient intelligence (AmI) context management solutions for extending them to the IoT, INCOME allows to bridge the gap between these two very active research domains. In this landscape paper, we identify how INCOME plans to advance the state of the art and we briefly describe its scientific program which consists of three main tasks: (i) multi-scale context management, (ii) management of extrafunctional concerns (quality of context and privacy), and (iii) autonomous deployment of context management entities.

Original language	English
Title of host publication	Ambient Intelligence - 3rd International Joint Conference, AmI 2012, Proceedings
Editors	Fabio Paterno, Carmen Santoro, Boris de Ruyter, Evert van Loenen, Panos Markopoulos, Kris Luyten
Publisher	Springer Verlag
Pages	338-347
Number of pages	10
ISBN (Print)	9783642348976
DOIs	https://doi.org/10.1007/978-3-642-34898-3_25
Publication status	Published - 1 Jan 2012
Event	3rd International Joint Conference on Ambient Intelligence, AmI 2012 - Pisa, Italy Duration: 13 Nov 2012 → 15 Nov 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7683 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Joint Conference on Ambient Intelligence, AmI 2012
Country/Territory	Italy
City	Pisa
Period	13/11/12 → 15/11/12

Access to Document

10.1007/978-3-642-34898-3_25

Cite this

Arcangeli, J. P., Bouzeghoub, A., Camps, V., Canut, M. F., Chabridon, S., Conan, D., Desprats, T., Laborde, R., Lavinal, E., Leriche, S., Maurel, H., Péninou, A., Taconet, C., & Zaraté, P. (2012). INCOME - Multi-scale context management for the internet of things. In F. Paterno, C. Santoro, B. de Ruyter, E. van Loenen, P. Markopoulos, & K. Luyten (Eds.), Ambient Intelligence - 3rd International Joint Conference, AmI 2012, Proceedings (pp. 338-347). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7683 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-34898-3_25

Arcangeli, Jean Paul ; Bouzeghoub, Amel ; Camps, Valérie et al. / INCOME - Multi-scale context management for the internet of things. Ambient Intelligence - 3rd International Joint Conference, AmI 2012, Proceedings. editor / Fabio Paterno ; Carmen Santoro ; Boris de Ruyter ; Evert van Loenen ; Panos Markopoulos ; Kris Luyten. Springer Verlag, 2012. pp. 338-347 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "INCOME - Multi-scale context management for the internet of things",

abstract = "Nowadays, context management solutions in ambient networks are well-known. However, with the IoT paradigm, ambient information is not anymore the only source of context. Context management solutions able to address multiple network scales ranging from ambient networks to the Internet of Things (IoT) are required. We present the INCOME project whose goal is to provide generic software and middleware components to ease the design and development of mass market context-aware applications built above the Internet of Things. By revisiting ambient intelligence (AmI) context management solutions for extending them to the IoT, INCOME allows to bridge the gap between these two very active research domains. In this landscape paper, we identify how INCOME plans to advance the state of the art and we briefly describe its scientific program which consists of three main tasks: (i) multi-scale context management, (ii) management of extrafunctional concerns (quality of context and privacy), and (iii) autonomous deployment of context management entities.",

author = "Arcangeli, \{Jean Paul\} and Amel Bouzeghoub and Val{\'e}rie Camps and Canut, \{Marie Fran{\c c}oise\} and Sophie Chabridon and Denis Conan and Thierry Desprats and Romain Laborde and Emmanuel Lavinal and S{\'e}bastien Leriche and Herv{\'e} Maurel and Andr{\'e} P{\'e}ninou and Chantal Taconet and Pascale Zarat{\'e}",

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doi = "10.1007/978-3-642-34898-3\_25",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Arcangeli, JP, Bouzeghoub, A, Camps, V, Canut, MF, Chabridon, S , Conan, D, Desprats, T, Laborde, R, Lavinal, E, Leriche, S, Maurel, H, Péninou, A, Taconet, C & Zaraté, P 2012, INCOME - Multi-scale context management for the internet of things. in F Paterno, C Santoro, B de Ruyter, E van Loenen, P Markopoulos & K Luyten (eds), Ambient Intelligence - 3rd International Joint Conference, AmI 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7683 LNCS, Springer Verlag, pp. 338-347, 3rd International Joint Conference on Ambient Intelligence, AmI 2012, Pisa, Italy, 13/11/12. https://doi.org/10.1007/978-3-642-34898-3_25

INCOME - Multi-scale context management for the internet of things. / Arcangeli, Jean Paul; Bouzeghoub, Amel; Camps, Valérie et al.
Ambient Intelligence - 3rd International Joint Conference, AmI 2012, Proceedings. ed. / Fabio Paterno; Carmen Santoro; Boris de Ruyter; Evert van Loenen; Panos Markopoulos; Kris Luyten. Springer Verlag, 2012. p. 338-347 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7683 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - INCOME - Multi-scale context management for the internet of things

AU - Arcangeli, Jean Paul

AU - Bouzeghoub, Amel

AU - Camps, Valérie

AU - Canut, Marie Françoise

AU - Chabridon, Sophie

AU - Conan, Denis

AU - Desprats, Thierry

AU - Laborde, Romain

AU - Lavinal, Emmanuel

AU - Leriche, Sébastien

AU - Maurel, Hervé

AU - Péninou, André

AU - Taconet, Chantal

AU - Zaraté, Pascale

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N2 - Nowadays, context management solutions in ambient networks are well-known. However, with the IoT paradigm, ambient information is not anymore the only source of context. Context management solutions able to address multiple network scales ranging from ambient networks to the Internet of Things (IoT) are required. We present the INCOME project whose goal is to provide generic software and middleware components to ease the design and development of mass market context-aware applications built above the Internet of Things. By revisiting ambient intelligence (AmI) context management solutions for extending them to the IoT, INCOME allows to bridge the gap between these two very active research domains. In this landscape paper, we identify how INCOME plans to advance the state of the art and we briefly describe its scientific program which consists of three main tasks: (i) multi-scale context management, (ii) management of extrafunctional concerns (quality of context and privacy), and (iii) autonomous deployment of context management entities.

AB - Nowadays, context management solutions in ambient networks are well-known. However, with the IoT paradigm, ambient information is not anymore the only source of context. Context management solutions able to address multiple network scales ranging from ambient networks to the Internet of Things (IoT) are required. We present the INCOME project whose goal is to provide generic software and middleware components to ease the design and development of mass market context-aware applications built above the Internet of Things. By revisiting ambient intelligence (AmI) context management solutions for extending them to the IoT, INCOME allows to bridge the gap between these two very active research domains. In this landscape paper, we identify how INCOME plans to advance the state of the art and we briefly describe its scientific program which consists of three main tasks: (i) multi-scale context management, (ii) management of extrafunctional concerns (quality of context and privacy), and (iii) autonomous deployment of context management entities.

U2 - 10.1007/978-3-642-34898-3_25

DO - 10.1007/978-3-642-34898-3_25

M3 - Conference contribution

AN - SCOPUS:84895064956

SN - 9783642348976

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 338

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BT - Ambient Intelligence - 3rd International Joint Conference, AmI 2012, Proceedings

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A2 - Santoro, Carmen

A2 - de Ruyter, Boris

A2 - van Loenen, Evert

A2 - Markopoulos, Panos

A2 - Luyten, Kris

PB - Springer Verlag

T2 - 3rd International Joint Conference on Ambient Intelligence, AmI 2012

Y2 - 13 November 2012 through 15 November 2012

ER -

Arcangeli JP, Bouzeghoub A, Camps V, Canut MF, Chabridon S , Conan D et al. INCOME - Multi-scale context management for the internet of things. In Paterno F, Santoro C, de Ruyter B, van Loenen E, Markopoulos P, Luyten K, editors, Ambient Intelligence - 3rd International Joint Conference, AmI 2012, Proceedings. Springer Verlag. 2012. p. 338-347. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-34898-3_25

INCOME - Multi-scale context management for the internet of things

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