A Framework for Multiscale-, QoC- and Privacy-aware Context Dissemination in the Internet of Things

The 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 scenario.