Standard
Toward an Ultra-low Latency and Energy Efficient LoRaWAN. / Muthanna, Mohammed Saleh Ali; Wang, Ping; Wei, Min; Ateya, Abdelhamied A.; Muthanna, Ammar.
Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings. ред. / Olga Galinina; Sergey Andreev; Yevgeni Koucheryavy; Sergey Balandin. Springer Nature, 2019. стр. 233-242 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11660 LNCS).
Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
Harvard
Muthanna, MSA, Wang, P, Wei, M, Ateya, AA & Muthanna, A 2019,
Toward an Ultra-low Latency and Energy Efficient LoRaWAN. в O Galinina, S Andreev, Y Koucheryavy & S Balandin (ред.),
Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 11660 LNCS, Springer Nature, стр. 233-242, 19th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2019, and 12th Conference on Internet of Things and Smart Spaces, ruSMART 2019, St. Petersburg, Российская Федерация,
26/08/19.
https://doi.org/10.1007/978-3-030-30859-9_20
APA
Muthanna, M. S. A., Wang, P., Wei, M., Ateya, A. A., & Muthanna, A. (2019).
Toward an Ultra-low Latency and Energy Efficient LoRaWAN. в O. Galinina, S. Andreev, Y. Koucheryavy, & S. Balandin (Ред.),
Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings (стр. 233-242). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11660 LNCS). Springer Nature.
https://doi.org/10.1007/978-3-030-30859-9_20
Vancouver
Muthanna MSA, Wang P, Wei M, Ateya AA, Muthanna A.
Toward an Ultra-low Latency and Energy Efficient LoRaWAN. в Galinina O, Andreev S, Koucheryavy Y, Balandin S, Редакторы, Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings. Springer Nature. 2019. стр. 233-242. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-030-30859-9_20
Author
Muthanna, Mohammed Saleh Ali ; Wang, Ping ; Wei, Min ; Ateya, Abdelhamied A. ; Muthanna, Ammar. /
Toward an Ultra-low Latency and Energy Efficient LoRaWAN. Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings. Редактор / Olga Galinina ; Sergey Andreev ; Yevgeni Koucheryavy ; Sergey Balandin. Springer Nature, 2019. стр. 233-242 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{9ca816fa2f794cb990abede791a74f71,
title = "Toward an Ultra-low Latency and Energy Efficient LoRaWAN",
abstract = "LoRaWAN represents a promising Internet of things (IoT) technology that has recently gained high a market and academic interest. With the recent advances in sensory manufacturing, the number of connected devices increases dramatically and thus, a reliable IoT system able to provide the coverage for such system becomes a high demand. This paper proposed a reliable LoRaWAN architecture for ultra-dense IoT networks. The mobile edge computing is proposed to provide the computing and energy resources at the edge of the access LoRa network, while the software defined networking (SDN) is deployed at the core network to manage and control the whole network traffic. The novelty of the proposed system comes from the deploying of a distributed version of the SDN controller at the edge servers, to reduce the load on the core network. The system is simulated for various simulation scenarios and the results validate the proposed structure for ultra-dense and ultra-low latency IoT networks.",
keywords = "Dense deployment, Latency, LoRaWAN, MEC, SDN",
author = "Muthanna, {Mohammed Saleh Ali} and Ping Wang and Min Wei and Ateya, {Abdelhamied A.} and Ammar Muthanna",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 19th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2019, and 12th Conference on Internet of Things and Smart Spaces, ruSMART 2019 ; Conference date: 26-08-2019 Through 28-08-2019",
year = "2019",
doi = "10.1007/978-3-030-30859-9_20",
language = "English",
isbn = "9783030308582",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "233--242",
editor = "Olga Galinina and Sergey Andreev and Yevgeni Koucheryavy and Sergey Balandin",
booktitle = "Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings",
address = "Germany",
}
RIS
TY - GEN
T1 - Toward an Ultra-low Latency and Energy Efficient LoRaWAN
AU - Muthanna, Mohammed Saleh Ali
AU - Wang, Ping
AU - Wei, Min
AU - Ateya, Abdelhamied A.
AU - Muthanna, Ammar
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - LoRaWAN represents a promising Internet of things (IoT) technology that has recently gained high a market and academic interest. With the recent advances in sensory manufacturing, the number of connected devices increases dramatically and thus, a reliable IoT system able to provide the coverage for such system becomes a high demand. This paper proposed a reliable LoRaWAN architecture for ultra-dense IoT networks. The mobile edge computing is proposed to provide the computing and energy resources at the edge of the access LoRa network, while the software defined networking (SDN) is deployed at the core network to manage and control the whole network traffic. The novelty of the proposed system comes from the deploying of a distributed version of the SDN controller at the edge servers, to reduce the load on the core network. The system is simulated for various simulation scenarios and the results validate the proposed structure for ultra-dense and ultra-low latency IoT networks.
AB - LoRaWAN represents a promising Internet of things (IoT) technology that has recently gained high a market and academic interest. With the recent advances in sensory manufacturing, the number of connected devices increases dramatically and thus, a reliable IoT system able to provide the coverage for such system becomes a high demand. This paper proposed a reliable LoRaWAN architecture for ultra-dense IoT networks. The mobile edge computing is proposed to provide the computing and energy resources at the edge of the access LoRa network, while the software defined networking (SDN) is deployed at the core network to manage and control the whole network traffic. The novelty of the proposed system comes from the deploying of a distributed version of the SDN controller at the edge servers, to reduce the load on the core network. The system is simulated for various simulation scenarios and the results validate the proposed structure for ultra-dense and ultra-low latency IoT networks.
KW - Dense deployment
KW - Latency
KW - LoRaWAN
KW - MEC
KW - SDN
UR - http://www.scopus.com/inward/record.url?scp=85072975560&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-30859-9_20
DO - 10.1007/978-3-030-30859-9_20
M3 - Conference contribution
AN - SCOPUS:85072975560
SN - 9783030308582
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 233
EP - 242
BT - Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings
A2 - Galinina, Olga
A2 - Andreev, Sergey
A2 - Koucheryavy, Yevgeni
A2 - Balandin, Sergey
PB - Springer Nature
T2 - 19th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2019, and 12th Conference on Internet of Things and Smart Spaces, ruSMART 2019
Y2 - 26 August 2019 through 28 August 2019
ER -
