Multi-Agent-based Service Recommendation Model in IoT

摘要

The services in IoT are the key components to realize the value of IoT. The entity-oriented services are discovered from data, however, a large number of heterogeneous data and entities in IoT are increasing the difficulty of the service development. For this, we propose a multi-agent-based model to recommend services in IoT. The model consists of three layers: in the physical layer, the individual behavior pattern is defined, and system layer are responsible for handling entity data to solve the issue of heterogeneous data; the cyber layer is the agent layer, where we use the defined agents to establish service logic, shielding the issue of heterogeneous entities. In experiments, we obtain the data from 5 scenes, and these data is used for 6 experiments. In terms of accuracy and corresponding time, our model has outstanding advantages compared to the previous methods.