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Distributed Adaptive Formation Control for Multi-UAV To Enable Connectivity
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0001-5924-5457
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2020 (English)In: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 17, no 2, p. 1-7Article in journal (Refereed) Published
Abstract [en]

There is increasing demand for adaptive control of multi-robot and as well distributing large amount of content to cluster of UAV on operation. In recent years several large-scale accidents have been happened. To facilitate rescue operations and gather information, technology that can access and map inaccessible areas is needed. This paper presents a disruptive approach for address the issues with communication, data collection and data sharing for UAV units in inaccessible or dead zones and We demonstrated feasibility of the approach and evaluate its advantages over the Ad Hoc architecture involving autonomous gateways.

Place, publisher, year, edition, pages
2020. Vol. 17, no 2, p. 1-7
Keywords [en]
Intelligent IoT, Wireless Sensor network, Autonomous Gateway, Context-aware pervasive systems, Smart Cities, Deep Sensing, UAV, Reliability on Flow-sensor
National Category
Computer Engineering
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-186985DOI: 10.5281/zenodo.3987125OAI: oai:DiVA.org:su-186985DiVA, id: diva2:1505345
Available from: 2020-11-30 Created: 2020-11-30 Last updated: 2022-03-23Bibliographically approved

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Rahmani, RahimFirouzi, RaminKanter, Theo G
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  • asciidoc
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