An Internet of Drone (IOD) Based Data Analytics in Cloud for Emergency Services
E. Bijolin Edwin1, M. RoshniThanka2, Shiny Deula3
1Dr. E. Bijolin Edwin, Assistant Professor, Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore (Tamil Nadu), India.
2Dr. M. RoshniThanka, Assistant Professor, Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore (Tamil Nadu), India.
3Dr. Shiny Deula, Assistant Professor, Department of Computer Science and Engineering, Jerusalem College of Engineering, Chennai (Tamil Nadu), India.
Manuscript received on 06 February 2019 | Revised Manuscript received on 19 February 2019 | Manuscript Published on 04 March 2019 | PP: 263-267 | Volume-7 Issue-5S2 January 2019 | Retrieval Number: ES2044017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the fast-emerging world internet has become the part of life in people’s life, since everyone and everything are connected to internet. The recent technology behind Internet of Drone (IOD) the safe operations on commercial and public use presents communication and computational challenges in the real-world aspects. The usage of multidrone in which the tasks allocated for each drone and the values from the datacentre transferred to the cloud gives the data balancing techniques from an unreachable area. The cameras used in today’s drone can process images quickly in each frame by frame. The drone data analytics methods with high efficiency in the areas of progress monitoring, inspections, and surveying to analyse the data for making key decisions are being identified. The key services includes Pre-visualizations for few concepts, Analysis of Unmanned Aerial Vehicles (UAV) based engineering, grade aerial images,3D point cloud analysis, improved and efficient coordination and communication, issue faster resolution. The data viewed and observed through drones are yet to be captured and given to the cloud data centre. 3DPath Planning Algorithm using visibility graph proposed to know the shortest path and the amount of data collected are being measured under visibility graph method. SPF learning algorithm which makes the data to move quickly under each scenario. Drone data processing just expanding into the cloud with bandwidth management for data processing and based on the image detection effective decision will be taken to safeguard the human life and property. This focus on infinitely scalable computational power with web data analytics algorithm having end to end process automation. Performance of the model is evaluated with the given types of resources and the number of nodes utilized.
Keywords: Pre-Visualizations, UAV, Cloud Data Centre, Cloud Computing.
Scope of the Article: Internet Computing