A re-organizing biosurveillance framework based on fog and mobile edge computing
#MMPMID32837246
Al-Zinati M
; Alrashdan R
; Al-Duwairi B
; Aloqaily M
Multimed Tools Appl
2021[]; 80
(11
): 16805-16825
PMID32837246
show ga
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.