Deployment of an Agent-based SANET Architecture for Healthcare Services

• Autorzy: Chiu C. , Chaczko Z.
• Języki publikacji: EN

Abstrakty

EN

This paper describes the adaptation of a computational technique utilizing Extended Kohonen Maps (EKMs) and Rao-Blackwell-Kolmogorov (R-B) Filtering mechanisms for the administration of Sensor-Actuator networks (SANETs). Inspired by the BDI (Belief-Desire-Intention) Agent model from Rao and Georgeff, EKMs perform the quantitative analysis of an algorithmic artificial neural network process by using an indirect-mapping EKM to self-organize, while the Rao-Blackwell filtering mechanism reduces the external noise and interference in the problem set introduced through the self-organization process. Initial results demonstrate that a combinatorial approach to optimization with EKMs and Rao-Blackwell filtering provides an improvement in event trajectory approximation in comparison to standalone cooperative EKM processes to allow responsive event detection and optimization in patient healthcare.

Słowa kluczowe

EN

BDI agent framework; extended Kohonen maps; EKM; healthcare infrastructures; Rao-Blackwell filtering; sensor actuator networks; SANET

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2011
• Tom: Vol. 57, No. 3
• Strony: 309--315
• Opis fizyczny: Bibliogr. 20 poz., il., wykr.

Twórcy

autor

Chiu C.

• Faculty of Engineering, University of Technology, Sydney, Australia

autor

Chaczko Z.

• Faculty of Engineering, University of Technology, Sydney, Australia

Bibliografia

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