A re-organizing biosurveillance framework based on fog and mobile edge computing
Autor: | Basheer Al-Duwairi, Moayad Aloqaily, Mohammad Al-Zinati, Reem M. Al-Rashdan |
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Rok vydání: | 2020 |
Předmět: |
Mobile edge computing
Computer Networks and Communications Computer science 020207 software engineering 02 engineering and technology Computer security computer.software_genre Article Base station Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Media Technology Fog computing Biosurveillance systems Edge cloud data management Biosurveillance computer Software |
Zdroj: | Multimedia Tools and Applications |
ISSN: | 1573-7721 1380-7501 |
DOI: | 10.1007/s11042-020-09050-x |
Popis: | Biological threats are becoming a serious security issue for many countries across the world. Effective biosurveillance systems can primarily support appropriate responses to biological threats and consequently save human lives. Nevertheless, biosurveillance systems are costly to implement and hard to operate. Furthermore, they rely on static infrastructures that might not cope with the evolving dynamics of the monitored environment. In this paper, we present a reorganizing biosurveillance framework for the detection and localization of biological threats with fog and mobile edge computing support. In the proposed framework, a hierarchy of fog nodes are responsible for aggregating monitoring data within their regions and detecting potential threats. Although fog nodes are deployed on a fixed base station infrastructure, the framework provides an innovative technique for reorganizing the monitored environment structure to adapt to the evolving environmental conditions and to overcome the limitations of the static base station infrastructure. Evaluation results illustrate the ability of the framework to localize biological threats and detect infected areas. Moreover, the results show the effectiveness of the reorganization mechanisms in adjusting the environment structure to cope with the highly dynamic environment. |
Databáze: | OpenAIRE |
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