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

Bibliografiset tiedot
Parent link:IEEE Communications Magazine
Vol. 56, iss. 4.— 2018.— [P. 120-128]
Yhteisötekijä: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники
Muut tekijät: Sharma V. K. Vishnu Kumar, Dzhayakodi (Jayakody) Arachshiladzh D. N. K. Dushanta Nalin Kumara, You I. Ilsun, Kumar R. Ravinder, Li Jun
Yhteenveto: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.
Kieli:englanti
Julkaistu: 2018
Aiheet:
Linkit:https://doi.org/10.1109/MCOM.2018.1700434
Aineistotyyppi: Elektroninen Kirjan osa
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665887

MARC

LEADER 00000naa0a2200000 4500
001 665887
005 20260807071629.0
035 |a (RuTPU)RU\TPU\network\37091 
035 |a RU\TPU\network\35402 
090 |a 665887 
100 |a 20211122d2018 k||y0rusy50 ba 
101 0 |a eng 
102 |a US 
135 |a drcn ---uucaa 
181 0 |a i  
182 0 |a b 
200 1 |a Secure and efficient context-aware localization of drones in urban scenarios  |f V. K. Sharma, D. N. K. Dzhayakodi (Jayakody) Arachshiladzh, I. You [et al.] 
203 |a Text  |c electronic 
300 |a Title screen 
320 |a [References: 15 tit.] 
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. 
461 |t IEEE Communications Magazine 
463 |t Vol. 56, iss. 4  |v [P. 120-128]  |d 2018 
610 1 |a труды учёных ТПУ 
610 1 |a электронный ресурс 
610 1 |a drones 
610 1 |a petri nets 
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 
610 1 |a unmanned aerial vehicles 
610 1 |a дроны 
610 1 |a сети Петри 
610 1 |a безопасность 
610 1 |a дисплеи 
610 1 |a энергоэффективность 
610 1 |a наблюдения 
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 
712 0 2 |a Национальный исследовательский Томский политехнический университет  |b Инженерная школа информационных технологий и робототехники  |c 2017-  |x TPU  |7 ca  |8 rus  |9 28330 
801 2 |a RU  |b 63413507  |c 20211122  |g RCR 
856 4 0 |u https://doi.org/10.1109/MCOM.2018.1700434 
942 |c CF