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AuthorTariq H.
AuthorAbdaoui A.
AuthorTouati F.
AuthorAl-Hitmi M.A.E.
AuthorCrescini D.
AuthorMnaouer A.B.
Available date2022-05-22T11:03:05Z
Publication Date2020
Publication Name2020 10th Annual Computing and Communication Workshop and Conference, CCWC 2020
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/CCWC47524.2020.9031188
URIhttp://hdl.handle.net/10576/31427
AbstractUrban and global scale health monitoring systems have gained significance in digital ecosystems. Every stakeholder is striving for efficiency through performance analysis of digital infrastructure health monitoring (IHM) solutions. In this work, a geospatial network analyzer (GNA) is designed and implemented in python using the synergic strengths of Plotly, NetworkX, Scipy, Numpy, MatplotLib, Network2tikz, Pysocks, and PyPing. The GNA uses as a case study a utility computing model (UCM) to make structural health monitoring (SHM) that is based on analysis of geographical area network (GAN). A geo-distributed SHM deployment is assessed from a network performance perspective and verified from geo-spatial packet processing in GNA. The results have shown that this work can lead to standardizing the future of global-scale IoT networks analytics.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectGateways (computer networks)
Structural health monitoring
Design and implementations
Digital ecosystem
Digital infrastructures
Health monitoring system
Infrastructure health monitoring
Packet processing
Performance analysis
Structural health monitoring (SHM)
Internet of things
TitleDesign and Implementation of Cadastral Geo-spatial IoT Network Gateway Analyzer for Urban Scale Infrastructure Health Monitoring
TypeConference Paper
Pagination858-863
dc.accessType Abstract Only


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