Secure and efficient context-aware localization of drones in urban scenarios; IEEE Communications Magazine; Vol. 56, iss. 4

Dettagli Bibliografici
Parent link:IEEE Communications Magazine
Vol. 56, iss. 4.— 2018.— [P. 120-128]
Ente Autore: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Научно-образовательный центр "Автоматизация и информационные технологии"
Altri autori: Sharma V. K. Vishnu Kumar, Dzhayakodi (Jayakody) Arachshiladzh D. N. K. Dushanta Nalin Kumara, You I. Ilsun, Kumar R. Ravinder, Li Jun
Riassunto:Title screen
Drone swarming involves multiple unmanned aerial vehicles (UAVs), which are able to manoeuver autonomously, providing a vast range of surveillance applications such as traffic evaluations, driver monitoring, disaster management, temporary network support, and pedestrian tracking. All these applications are an integral part of urban surveillance. In other words, cooperation between multiple drones can facilitate urban surveillance while being able to provide high-quality 3D visualization of the surroundings. This 3D representation is driven by the initiation of accurate and non-overlapping waypoints. Such efficient localization depends on the type of context and its security validation by the receiving entities. For example, a highly burdened context with negligible security is of limited use. This article presents a novel solution that is capable of securing the context information for sharing 3D waypoints between UAVs. The proposed approach achieves optimal localization through hierarchical context- aware aspect-oriented Petri nets while being powered by a novel drone context-exchange protocol for security validations.
Lingua:inglese
Pubblicazione: 2018
Soggetti:
Accesso online:https://doi.org/10.1109/MCOM.2018.1700434
Natura: Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665887

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330 |a Drone swarming involves multiple unmanned aerial vehicles (UAVs), which are able to manoeuver autonomously, providing a vast range of surveillance applications such as traffic evaluations, driver monitoring, disaster management, temporary network support, and pedestrian tracking. All these applications are an integral part of urban surveillance. In other words, cooperation between multiple drones can facilitate urban surveillance while being able to provide high-quality 3D visualization of the surroundings. This 3D representation is driven by the initiation of accurate and non-overlapping waypoints. Such efficient localization depends on the type of context and its security validation by the receiving entities. For example, a highly burdened context with negligible security is of limited use. This article presents a novel solution that is capable of securing the context information for sharing 3D waypoints between UAVs. The proposed approach achieves optimal localization through hierarchical context- aware aspect-oriented Petri nets while being powered by a novel drone context-exchange protocol for security validations. 
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610 1 |a drones 
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610 1 |a security 
610 1 |a three-dimensional displays 
610 1 |a energy efficiency 
610 1 |a surveillance 
610 1 |a task analysis 
610 1 |a intelligent vehicles 
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610 1 |a беспилотные летательные аппараты 
701 1 |a Sharma  |b V. K.  |g Vishnu Kumar 
701 1 |a Dzhayakodi (Jayakody) Arachshiladzh  |b D. N. K.  |c specialist in the field of electronics  |c Professor of Tomsk Polytechnic University  |f 1983-  |g Dushanta Nalin Kumara  |3 (RuTPU)RU\TPU\pers\37962  |9 20606 
701 1 |a You  |b I.  |g Ilsun 
701 1 |a Kumar  |b R.  |g Ravinder 
701 0 |a Li Jun 
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