Title :
Autonomic control of network sensing quality with situational assessment
Author :
Ravindran, Kaliappa
Author_Institution :
Grad. Sch. & Univ. Center, Dept. of Comput. Sci., CUNY, New York, NY, USA
Abstract :
Sensing errors may occur in the form of inaccurate and/or delayed reporting of system and/or external events. The sensing errors may skew the control actions performed by an adaptive network system S on its external environment - and hence contribute to control errors. Given that sensing and control errors do arise due to imprecise and incomplete knowledge about the computational models of S, a model-based treatment of sensing errors allows quantifying their impact on the control accuracy. Our paper describes a software cybernetics framework to deal with data sensing errors that arise during the operations of a complex network system.
Keywords :
cybernetics; large-scale systems; sensor fusion; adaptive network system; autonomic control; complex network system; computational models; control errors; data sensing errors; model-based treatment; network sensing quality; situational assessment; software cybernetics framework; Computational modeling; Data collection; Frequency modulation; Protocols; Quality of service; Redundancy; Sensors;
Conference_Titel :
World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2014 IEEE 15th International Symposium on a
Conference_Location :
Sydney, NSW
DOI :
10.1109/WoWMoM.2014.6918920
