Proposal of a multiagent-based smart environment for the IoT
This work addresses context-awareness for IoT systems, but it appears incremental as it builds on existing multiagent and logic-based approaches without demonstrating broad advancements.
The authors tackled the problem of context-awareness in IoT networks by proposing a multiagent system that builds dynamic preference models using formal logic and a 3-level agent structure, with an example system presented but no concrete performance numbers provided.
This work relates to context-awareness of things that belong to IoT networks. Preferences understood as a priority in selection are considered, and dynamic preference models for such systems are built. Preference models are based on formal logic, and they are built on-the-fly by software agents observing the behavior of users/inhabitants, and gathering knowledge about preferences expressed in terms of logical specifications. A 3-level structure of agents has been introduced to support IoT inference. These agents cooperate with each other basing on the graph representation of the system knowledge. An example of such a system is presented.