Multi-Agent Based Architecture for Robust Supervision Over Wireless Sensor Networks
The Wireless Sensor Networks have become an important issue in the research community. They can be used to detect and classify ephemeral events, such as alarm and fault detection notifications due to important changes in machine, process, plant security, operator actions, etc. Therefore, different process components with different behaviors have to communicate with each other for the sake of the global system teleonomy. Distributed Artificial Intelligence techniques, under the form of agents, can be used to improve performance of the overall system, in terms of autonomy, adaptability and robustness. The paper focuses on developing a wireless sensor networks based multi-agent architecture.