Performance Measurement Model of Multi-Source Data Fusion Based on Network Situation Awareness

• Autorzy: Guo L. , Chen F. , Gao C. , Xong W.

Warianty tytułu

PL

Model pomiaru możliwości wieloźródłowej fuzji danych bazującej na wiedzy o bezprzewodowej sieci czujników

• Języki publikacji: EN

Abstrakty

EN

In order to solve the problem of the energy optimization and assessment with situational awareness performance in the wireless sensor network, the function model is proposed based on the potential relationship between the trend of events and trend assumptions. Research from data integration, correlation analysis, events and prediction method, this paper analyzes the ability of the decision node to obtain and process information. It derivates the multi-sensor network situational awareness performance measurement formula, integrates network situation element, draws a trend calculation curve to achieve the network trend prediction. Experiments show that the proposed method can effectively predict the future trend of the network, the trend calculation results and time series analysis results is better than other network trend assessment algorithms.

PL

Zaproponowano model sieci bezprzewodowej czujników bazujący na potencjalnych zależnościach między trendami i zdarzeniami. Artykuł analizuje możliwość decyzji węzłów do realizacji przesyłu informacji. Eksperymenty potwierdziły, że metoda pozwala na efektywne prognozowanie trendu.

Słowa kluczowe

EN

situation awareness; prediction; modelling; assessment index; performance metrics

PL

prognozowanie; sieć bezprzewodowa czujników; fuzja danych

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 7b
• Strony: 315--319
• Opis fizyczny: Bibliogr. 9 poz., schem., wykr.

Twórcy

autor

Guo L.

• department of control science and engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

autor

Chen F.

• department of Early Warning Surveillance Intelligence, Air Force Radar Academy, Wuhan,430019, China

autor

Gao C.

• department of control science and engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

autor

Xong W.

• department of control science and engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

Bibliografia

• [1] Scholtz, J.C.,Antonishek, B.,Young, J.D. Implementation of a situation awareness assessment tool for evaluation of humanrobot interfaces.IEEE Transactions on Systems and Humans. 4 (2005),450-459.
• [2] Roman R,Lopez J, Gritzalis, S.Situation awareness mechanisms for wireless sensor networks.Communications Magazine, 4 (2008), 102-107
• [3] Ellerbroek J, Visser M,van Dam S.B.J,Mulder M,van Paassen M.M.Design of an Airborne Three-Dimensional Separation Assistance Display. IEEE Transactions on Systems and Humans, 5 (2011), 863-875
• [4] Yongmian Zhang, Qiang Ji.Efficient Sensor Selection for Active Information Fusion. IEEE Transactions on Cybernetics, 3 (2010) ,719-728
• [5] Holsopple J, Sudit M, Nusinov M, Liu D,Haitao Du,Shanchieh Yang. Enhancing situation awareness via automated situation assessment. Communications Magazine, 3 (2010) , 146-152
• [6] Ellerbroek J,Visser M,van Dam S.B.J,Mulder M,van Paassen M.M. Design of an Airborne Three-Dimensional Separation Assistance Display.IEEE Transactions on Systems and Humans, 5 (2011), 863-875
• [7] Pederson T, Janlert L.-E,Surie, D. A Situative Space Model for Mobile Mixed-Reality Computing.Pervasive Computing, 4 (2011), 73-83
• [8] Anagnostopoulos C, Hadjiefthymiades S.Enhancing Situation-Aware Systems through Imprecise Reasoning.IEEE Transactions on Mobile Computing, 10 (2008), 1153-1168
• [9] Valera M, Velastin S.A,Ellis A,Ferryman J.Communication Mechanisms and Middleware for Distributed Video Surveillance.IEEE Transactions on Circuits and Systems for Video Technology, 12 (2011), 1795-1809