Cloud-Based IoE Enabled an Urban Flooding Surveillance System.

Autor: Dhaya R; Department of Computer Science, College of Arts and Science-Sarat Abidha, King Khalid University, Abha, Saudi Arabia., Ahanger TA; College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia., Asha GR; Department of Computer Science & Engineering, B.M.S. College of Engineering, Bangalore, Bull Temple Rd, Basavanagudi, Bengaluru, Karnataka-560019, India., Ahmed EA; Department of Computer Science, Faculty of Computers and Information, South Valley University, Qena, Egypt., Tripathi V; Department of Computer Science & Engineering, Graphic Era Deemed to Be University, Dehradun, Uttarakhand, India., Kanthavel R; Department of Computer Engineering, College of Computer Science, King Khalid University, Abha, Saudi Arabia., Atiglah HK; Department of Electrical & Electronics Engineering, Tamale Technical University, Tamale, Ghana.
Jazyk: angličtina
Zdroj: Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 May 25; Vol. 2022, pp. 8470496. Date of Electronic Publication: 2022 May 25 (Print Publication: 2022).
DOI: 10.1155/2022/8470496
Abstrakt: A flood is defined as a surplus of water or sludge on parched soil, and a flood has originated through the runoff of water inside the water route from the various water sources like canals, etc. Intense rainfall, deforestation, urbanization, deprived water and sewerage administration, and lack of concentration toward the environment of the hydrological scheme have been the causes of urban flooding. In addition, there is a deficiency in flood assessment due to the impediment in getting data on floods to the control room from the flood-affected area. To diminish the possessions due to flooding, there ought to be an immediate move of captured statistics as of the hectic region en route to the observation room with no further wait for a completely fledged technique in the wireless settings data from the Internet of Things (IoT). The Internet of Everything (IoE) is a concept that extends the Internet of Things. In view of the fact that the wireless nodes are changeable in their environment, those effects lead to unsteadiness and uncertainty in information distribution. Therefore, there is a requirement for flood-predictable region data that may be exaggerated between the source and the control room. In the past, there were a lot of techniques set up and put into practice intended for keeping an eye on the flood spots. However, one of the biggest challenges is to have data sharing without delay and loss of data among source and destination nodes. In addition to that, the video quality also needs to be taken into consideration at the same time in receipt, as it is a tough task to determine and preplan the flood happenings completely from the normal disaster that makes scientific complicatedness more than the information being received in a wireless ad-hoc environment using IoT-based sensors. Considering all the abovementioned reasons, the proposed work comprises of three folded goals, namely, the design of a mobile ad-hoc flooding environment, the development of an urban flood high definition video surveillance system using IoT-based sensors, and experimental work on simulation.
Competing Interests: All authors declare that they have no conflicts of interest regarding the publication of this manuscript.
(Copyright © 2022 R. Dhaya et al.)
Databáze: MEDLINE
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