Title :
Artificial bees for improving resilience in a sensor middleware for situation awareness
Author :
Giuseppe D´Aniello;Angelo Gaeta;Francesco Orciuoli
Author_Institution :
Dip. di Ing. dell´Informazione, Ing. Elettrica e Matematica Applicata and Consorzio di Ricerca Sistemi ad Agenti, Universita´ di Salerno, Fisciano, Italy
Abstract :
Resilience is the capability of a system to absorb and mitigate unexpected faults and risks. This paper describes a resilient middleware for sensor network management for supporting Situation Awareness in security scenarios. The proposed middleware implements an approach based on two main approaches: Quality of Service and Artificial Bee Colony for identifying disturbances, incompleteness and uncertainty in raw data coming from physical sensors and reacting to them. In particular, an algorithm based on Artificial Bee Colony has been defined to discover association rules used to handle the absence of significant observations in the monitored environment and continue working and supporting higher architectural layers.
Keywords :
"Quality of service","Sensors","Resilience","Ontologies"
Conference_Titel :
Technologies and Applications of Artificial Intelligence (TAAI), 2015 Conference on
Electronic_ISBN :
2376-6824
DOI :
10.1109/TAAI.2015.7407104