INCOME - Multi-scale Context Management for the Internet of Things

نویسندگان

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

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.

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تاریخ انتشار 2012