A WPT-Enabled UAV-Assisted Condition Monitoring Scheme for Wireless Sensor Networks; IEEE Transactions on Intelligent Transportation Systems; Vol. 22, iss. 8
| Parent link: | IEEE Transactions on Intelligent Transportation Systems Vol. 22, iss. 8.— 2021.— [P. 5112-5126] |
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| Korporativní autor: | |
| Další autoři: | , , , , |
| Shrnutí: | Title screen In this paper, a resource allocation and data gathering scenario of an unmanned aerial vehicle (UAV) assisted wireless powered sensor network is investigated, in which the sensor nodes (SNs) are remotely powered by power beacons (PBs) via radio-frequency wireless power transmission (RF-WPT). A time-block structure with two phases is proposed to accommodate operations in the proposed system. During Phase-I, SNs harvest energy from PBs and periodically send its sensed data to the selected cluster heads (CHs). In Phase-II, an UAV collects the data from CHs to be delivered to the data sink for further processing avoiding the need for long range transmission and multi hop communication to the data sink. Then, a closed-form expression for outage probability of the proposed system over Rayleigh and Rician fading channels is derived. Next, outage probability minimization problem is formulated to obtain optimal time allocation for RF-WPT energy harvesting to improve the system performance. Due to the complexity of the problem, Lagrangian duality method is used to develop an asymptotic optimal solution with less execution complexity avoiding complex brute force/ exhaustive search approach. Furthermore, a heuristic method is presented to further lower the computation complexity. Simulation results reveal the superiority of the proposed methods compare to brute force/ exhaustive search approach via analysis, comparison and insights of the system performance results. Finally, the performance superiority of the proposed system is demonstrated with compare to identified baseline WSNs. Режим доступа: по договору с организацией-держателем ресурса |
| Jazyk: | angličtina |
| Vydáno: |
2021
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| Témata: | |
| On-line přístup: | https://doi.org/10.1109/TITS.2020.3018493 |
| Médium: | MixedMaterials Elektronický zdroj Kapitola |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663747 |
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| 200 | 1 | |a A WPT-Enabled UAV-Assisted Condition Monitoring Scheme for Wireless Sensor Networks |f T. D. Ponnimbaduge Perera, S. Panic, D. N. K. Dzhayakodi (Jayakody) Arachshiladzh [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 32 tit.] | ||
| 330 | |a In this paper, a resource allocation and data gathering scenario of an unmanned aerial vehicle (UAV) assisted wireless powered sensor network is investigated, in which the sensor nodes (SNs) are remotely powered by power beacons (PBs) via radio-frequency wireless power transmission (RF-WPT). A time-block structure with two phases is proposed to accommodate operations in the proposed system. During Phase-I, SNs harvest energy from PBs and periodically send its sensed data to the selected cluster heads (CHs). In Phase-II, an UAV collects the data from CHs to be delivered to the data sink for further processing avoiding the need for long range transmission and multi hop communication to the data sink. Then, a closed-form expression for outage probability of the proposed system over Rayleigh and Rician fading channels is derived. Next, outage probability minimization problem is formulated to obtain optimal time allocation for RF-WPT energy harvesting to improve the system performance. Due to the complexity of the problem, Lagrangian duality method is used to develop an asymptotic optimal solution with less execution complexity avoiding complex brute force/ exhaustive search approach. Furthermore, a heuristic method is presented to further lower the computation complexity. Simulation results reveal the superiority of the proposed methods compare to brute force/ exhaustive search approach via analysis, comparison and insights of the system performance results. Finally, the performance superiority of the proposed system is demonstrated with compare to identified baseline WSNs. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t IEEE Transactions on Intelligent Transportation Systems | ||
| 463 | |t Vol. 22, iss. 8 |v [P. 5112-5126] |d 2021 | ||
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a RF energy harvesting | |
| 610 | 1 | |a RF wireless power transfer | |
| 610 | 1 | |a UAV communication | |
| 610 | 1 | |a wireless sensor networks and 5G communication | |
| 610 | 1 | |a беспроводные сенсорные сети | |
| 610 | 1 | |a 5G | |
| 701 | 1 | |a Ponnimbaduge Perera |b T. D. |c programmer |c Research Engineer of Tomsk Polytechnic University |f 1990- |g Tarindu Dilshan |3 (RuTPU)RU\TPU\pers\44099 | |
| 701 | 1 | |a Panic |b S. |g Stefan | |
| 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 Muthuchidambaranathan |b P. | |
| 701 | 0 | |a Li Jun | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Инженерная школа информационных технологий и робототехники |b Научно-образовательный центр "Автоматизация и информационные технологии" |3 (RuTPU)RU\TPU\col\27515 |
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