Standard
Dynamic programming method for traffic distribution in lorawan network. / Ali Muthanna, Mohammed Saleh; Wang, Ping; Wei, Min; Al-Mughalles, Waleed; Rafiq, Ahsan.
Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 20th International Conference, NEW2AN 2020 and 13th Conference, ruSMART 2020, Proceedings. ed. / Olga Galinina; Sergey Andreev; Sergey Balandin; Yevgeni Koucheryavy. Springer Nature, 2020. p. 317-325 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12525 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Harvard
Ali Muthanna, MS, Wang, P, Wei, M, Al-Mughalles, W & Rafiq, A 2020,
Dynamic programming method for traffic distribution in lorawan network. in O Galinina, S Andreev, S Balandin & Y Koucheryavy (eds),
Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 20th International Conference, NEW2AN 2020 and 13th Conference, ruSMART 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12525 LNCS, Springer Nature, pp. 317-325, 20th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2020 and 13th Conference on the Internet of Things and Smart Spaces, ruSMART 2020, St. Petersburg, Russian Federation,
26/08/20.
https://doi.org/10.1007/978-3-030-65726-0_28
APA
Ali Muthanna, M. S., Wang, P., Wei, M., Al-Mughalles, W., & Rafiq, A. (2020).
Dynamic programming method for traffic distribution in lorawan network. In O. Galinina, S. Andreev, S. Balandin, & Y. Koucheryavy (Eds.),
Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 20th International Conference, NEW2AN 2020 and 13th Conference, ruSMART 2020, Proceedings (pp. 317-325). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12525 LNCS). Springer Nature.
https://doi.org/10.1007/978-3-030-65726-0_28
Vancouver
Ali Muthanna MS, Wang P, Wei M, Al-Mughalles W, Rafiq A.
Dynamic programming method for traffic distribution in lorawan network. In Galinina O, Andreev S, Balandin S, Koucheryavy Y, editors, Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 20th International Conference, NEW2AN 2020 and 13th Conference, ruSMART 2020, Proceedings. Springer Nature. 2020. p. 317-325. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-030-65726-0_28
Author
Ali Muthanna, Mohammed Saleh ; Wang, Ping ; Wei, Min ; Al-Mughalles, Waleed ; Rafiq, Ahsan. /
Dynamic programming method for traffic distribution in lorawan network. Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 20th International Conference, NEW2AN 2020 and 13th Conference, ruSMART 2020, Proceedings. editor / Olga Galinina ; Sergey Andreev ; Sergey Balandin ; Yevgeni Koucheryavy. Springer Nature, 2020. pp. 317-325 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{37c6976c816c441fa946ac4356e93ee5,
title = "Dynamic programming method for traffic distribution in lorawan network",
abstract = "Internet of things (IoT) allows millions of devices to be connected, measured, monitored to automate processes, and support better decision making. On the other hand, these IoT devices demand cost-effective, long-range, and power-efficient sensors and actuators. LoRaWAN can be considered as a promising way to overcome these issues. By leveraging LoRaWAN protocol into IoT systems, it will help to optimize energy consumption, capacity, cost, and coverage of the system. This study proposes a scheme for modeling the LoRAWANnetwork based on the availability of several independent radio frequency channels. As part of this approach, we also offer a model and calculation method. Numerical results show the efficacy of our proposed scheme.",
keywords = "IoT, LoRaWAN, Radiofrequency, Traffic distribution",
author = "{Ali Muthanna}, {Mohammed Saleh} and Ping Wang and Min Wei and Waleed Al-Mughalles and Ahsan Rafiq",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 20th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2020 and 13th Conference on the Internet of Things and Smart Spaces, ruSMART 2020 ; Conference date: 26-08-2020 Through 28-08-2020",
year = "2020",
doi = "10.1007/978-3-030-65726-0_28",
language = "English",
isbn = "9783030657253",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "317--325",
editor = "Olga Galinina and Sergey Andreev and Sergey Balandin and Yevgeni Koucheryavy",
booktitle = "Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 20th International Conference, NEW2AN 2020 and 13th Conference, ruSMART 2020, Proceedings",
address = "Germany",
}
RIS
TY - GEN
T1 - Dynamic programming method for traffic distribution in lorawan network
AU - Ali Muthanna, Mohammed Saleh
AU - Wang, Ping
AU - Wei, Min
AU - Al-Mughalles, Waleed
AU - Rafiq, Ahsan
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - Internet of things (IoT) allows millions of devices to be connected, measured, monitored to automate processes, and support better decision making. On the other hand, these IoT devices demand cost-effective, long-range, and power-efficient sensors and actuators. LoRaWAN can be considered as a promising way to overcome these issues. By leveraging LoRaWAN protocol into IoT systems, it will help to optimize energy consumption, capacity, cost, and coverage of the system. This study proposes a scheme for modeling the LoRAWANnetwork based on the availability of several independent radio frequency channels. As part of this approach, we also offer a model and calculation method. Numerical results show the efficacy of our proposed scheme.
AB - Internet of things (IoT) allows millions of devices to be connected, measured, monitored to automate processes, and support better decision making. On the other hand, these IoT devices demand cost-effective, long-range, and power-efficient sensors and actuators. LoRaWAN can be considered as a promising way to overcome these issues. By leveraging LoRaWAN protocol into IoT systems, it will help to optimize energy consumption, capacity, cost, and coverage of the system. This study proposes a scheme for modeling the LoRAWANnetwork based on the availability of several independent radio frequency channels. As part of this approach, we also offer a model and calculation method. Numerical results show the efficacy of our proposed scheme.
KW - IoT
KW - LoRaWAN
KW - Radiofrequency
KW - Traffic distribution
UR - http://www.scopus.com/inward/record.url?scp=85101963976&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-65726-0_28
DO - 10.1007/978-3-030-65726-0_28
M3 - Conference contribution
AN - SCOPUS:85101963976
SN - 9783030657253
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 317
EP - 325
BT - Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 20th International Conference, NEW2AN 2020 and 13th Conference, ruSMART 2020, Proceedings
A2 - Galinina, Olga
A2 - Andreev, Sergey
A2 - Balandin, Sergey
A2 - Koucheryavy, Yevgeni
PB - Springer Nature
T2 - 20th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2020 and 13th Conference on the Internet of Things and Smart Spaces, ruSMART 2020
Y2 - 26 August 2020 through 28 August 2020
ER -
