@article{(Open Science Index):https://publications.waset.org/pdf/10011146,
	  title     = {Omni: Data Science Platform for Evaluate Performance of a LoRaWAN Network},
	  author    = {Emanuele A. Solagna and  Ricardo S and  Tozetto and  Roberto dos S. Rabello},
	  country	= {},
	  institution	= {},
	  abstract     = {Nowadays, physical processes are becoming digitized
by the evolution of communication, sensing and storage technologies
which promote the development of smart cities. The evolution of
this technology has generated multiple challenges related to the
generation of big data and the active participation of electronic
devices in society. Thus, devices can send information that is captured
and processed over large areas, but there is no guarantee that all
the obtained data amount will be effectively stored and correctly
persisted. Because, depending on the technology which is used,
there are parameters that has huge influence on the full delivery of
information. This article aims to characterize the project, currently
under development, of a platform that based on data science will
perform a performance and effectiveness evaluation of an industrial
network that implements LoRaWAN technology considering its main
parameters configuration relating these parameters to the information
loss.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {14},
	  number    = {4},
	  year      = {2020},
	  pages     = {91 - 95},
	  ee        = {https://publications.waset.org/pdf/10011146},
	  url   	= {https://publications.waset.org/vol/160},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 160, 2020},
	}