Open AccessA framework for multiscale-, QoC- and privacy-aware context dissemination in the Internet of Things
Author(s) -
Sophie Chabridon,
Denis Conan,
Thierry Desprats,
Mohamed Mbarki,
Chantal Taconet,
Léon Lim,
Pierrick Marie,
Sam Rottenberg
Publication year - 2015
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1007/978-3-319_28910-6_19
Subject(s) - computer science , context (archaeology) , internet privacy , the internet , internet of things , information privacy , computer security , world wide web , geography , archaeology
International audienceThe tremendous amount of context information that can be generated by the Internet of Things (IoT) calls for new solutions able to dig for the relevant information fitting applications' needs. This paper proposes to leverage multiscale-, Quality of Context (QoC)- and privacy-awareness for the efficient filtering of context information disseminated between the decoupled producers and consumers of the IoT.We first discuss some specific challenges that must be addressed by next generation context managers, including multiscalability, distributed push and pull communications, and the consideration of both QoC and privacy constraints. We then answer these challenges with a new context dissemination framework involving visibility and forwarding filters and illustrate it through the implementation of a collaborative social welfare scenari