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A Distributed Framework of Autonomous Drones for Planning and Execution of Relief Operations during Flood Situations
Joint Authors
Zafar, Zobia
Abdul Jaleel
Majeed, Fiaz
Awais, Muhammad
Source
The International Arab Journal of Information Technology
Issue
Vol. 18, Issue 1 (31 Jan. 2021), pp.16-24, 9 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2021-01-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Every year, flood hits the world economy by billions of dollars, costs thousands of human and animal lives, destroys a vast area of land and crops, and displaces large populations from their homes.
The flood affected require a time-critical help, and a delay may cause the loss of precious human lives.
The ground rescue operations are difficult to carry out because of the unavailability of transport infrastructure.
However, drones, Unmanned Vehicles, can easily navigate to the areas where road networks have been destroyed or become ineffective.
The fleet participating in the rescue operation should have drones with different capabilities in order to make the efforts more successful.
A majority of existing systems in the literature offered a centralized system for these drones.
However, the performance of the existing system starts decreasing as the required number of tasks increases.
This research is based on the hypothesis that a distributed intelligent method is more effective than the centralized technique for relief operations performed by multiple drones.
The research aims to propose a distributed method that allows a fleet of drones with diverse capabilities to communicate and collaborate, so that the task completion rate of rescue operations could be increased.
The proposed solution consists of three main modules: 1) communication and message transmission module that enables collaboration between drones, 2) realignment module that allows drones to negotiate and occupy the best position in the air to optimize the coverage area, 3) situation monitoring module that identifies the ground situation and acts accordingly.
To validate the proposed solution, we have performed a simulation using AirSim simulator and compared the results with the centralized system.
The proposed distributed method performed better than legacy systems.
In the future, the work can be extended using reinforcement learning and other intelligent algorithms.
American Psychological Association (APA)
Zafar, Zobia& Awais, Muhammad& Abdul Jaleel& Majeed, Fiaz. 2021. A Distributed Framework of Autonomous Drones for Planning and Execution of Relief Operations during Flood Situations. The International Arab Journal of Information Technology،Vol. 18, no. 1, pp.16-24.
https://search.emarefa.net/detail/BIM-1430919
Modern Language Association (MLA)
Zafar, Zobia…[et al.]. A Distributed Framework of Autonomous Drones for Planning and Execution of Relief Operations during Flood Situations. The International Arab Journal of Information Technology Vol. 18, no. 1 (Jan. 2021), pp.16-24.
https://search.emarefa.net/detail/BIM-1430919
American Medical Association (AMA)
Zafar, Zobia& Awais, Muhammad& Abdul Jaleel& Majeed, Fiaz. A Distributed Framework of Autonomous Drones for Planning and Execution of Relief Operations during Flood Situations. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 1, pp.16-24.
https://search.emarefa.net/detail/BIM-1430919
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in .
Record ID
BIM-1430919