Performance of Slotted ALOHA for LoRa-ESL Based on Adaptive Backoff and Intra Slicing

Malak Abid Ali Khan; Hongbin Ma; Syed Muhammad Aamir; Anil Baris Cekderi; Mustak Ahamed; Abdulraman Abdo Ali Alsumeri

doi:10.1109/ICCIS56375.2022.9998155

Performance of Slotted ALOHA for LoRa-ESL Based on Adaptive Backoff and Intra Slicing

Malak Abid Ali Khan, Hongbin Ma, Syed Muhammad Aamir, Anil Baris Cekderi, Mustak Ahamed, Abdulraman Abdo Ali Alsumeri

School of Automation

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Slotted ALOHA implemented in the internet of things (IoT) uses the LoRaWAN media access control (MAC) protocol to improve its performance. Various backoff algorithms have been proposed in LoRaWAN to evaluate the delay, throughput, and packet loss rate (PLR). However, an adaptive backoff algorithm has been implemented in this paper to examine the performance metrics for electronic shelf labels (ESLs). The use of adaptive backoff optimizes the delay and the bandwidth (BW) for more efficient and meaningful communication with a certain degree of data loss. The results illustrate that the intra-slicing model and adaptive backoff estimate the optimal delay for each slice, starting with the best slicing priority for the end device (ED) which brings mobility into the network.

Original language	English
Title of host publication	2022 6th International Conference on Communication and Information Systems, ICCIS 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	169-173
Number of pages	5
ISBN (Electronic)	9781665463850
DOIs	https://doi.org/10.1109/ICCIS56375.2022.9998155
Publication status	Published - 2022
Event	6th International Conference on Communication and Information Systems, ICCIS 2022 - Chongqing, China Duration: 14 Oct 2022 → 16 Oct 2022

Publication series

Name	2022 6th International Conference on Communication and Information Systems, ICCIS 2022

Conference

Conference	6th International Conference on Communication and Information Systems, ICCIS 2022
Country/Territory	China
City	Chongqing
Period	14/10/22 → 16/10/22

Keywords

Adaptive backoff
Contention window
Electronic shelf label
Intra slicing
Slotted ALOHA

Access to Document

10.1109/ICCIS56375.2022.9998155

Cite this

Abid Ali Khan, M., Ma, H., Muhammad Aamir, S., Baris Cekderi, A., Ahamed, M., & Abdo Ali Alsumeri, A. (2022). Performance of Slotted ALOHA for LoRa-ESL Based on Adaptive Backoff and Intra Slicing. In 2022 6th International Conference on Communication and Information Systems, ICCIS 2022 (pp. 169-173). (2022 6th International Conference on Communication and Information Systems, ICCIS 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCIS56375.2022.9998155

Abid Ali Khan, Malak ; Ma, Hongbin ; Muhammad Aamir, Syed et al. / Performance of Slotted ALOHA for LoRa-ESL Based on Adaptive Backoff and Intra Slicing. 2022 6th International Conference on Communication and Information Systems, ICCIS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 169-173 (2022 6th International Conference on Communication and Information Systems, ICCIS 2022).

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title = "Performance of Slotted ALOHA for LoRa-ESL Based on Adaptive Backoff and Intra Slicing",

abstract = "Slotted ALOHA implemented in the internet of things (IoT) uses the LoRaWAN media access control (MAC) protocol to improve its performance. Various backoff algorithms have been proposed in LoRaWAN to evaluate the delay, throughput, and packet loss rate (PLR). However, an adaptive backoff algorithm has been implemented in this paper to examine the performance metrics for electronic shelf labels (ESLs). The use of adaptive backoff optimizes the delay and the bandwidth (BW) for more efficient and meaningful communication with a certain degree of data loss. The results illustrate that the intra-slicing model and adaptive backoff estimate the optimal delay for each slice, starting with the best slicing priority for the end device (ED) which brings mobility into the network.",

keywords = "Adaptive backoff, Contention window, Electronic shelf label, Intra slicing, Slotted ALOHA",

author = "{Abid Ali Khan}, Malak and Hongbin Ma and {Muhammad Aamir}, Syed and {Baris Cekderi}, Anil and Mustak Ahamed and {Abdo Ali Alsumeri}, Abdulraman",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th International Conference on Communication and Information Systems, ICCIS 2022 ; Conference date: 14-10-2022 Through 16-10-2022",

year = "2022",

doi = "10.1109/ICCIS56375.2022.9998155",

language = "English",

series = "2022 6th International Conference on Communication and Information Systems, ICCIS 2022",

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Abid Ali Khan, M, Ma, H, Muhammad Aamir, S, Baris Cekderi, A, Ahamed, M & Abdo Ali Alsumeri, A 2022, Performance of Slotted ALOHA for LoRa-ESL Based on Adaptive Backoff and Intra Slicing. in 2022 6th International Conference on Communication and Information Systems, ICCIS 2022. 2022 6th International Conference on Communication and Information Systems, ICCIS 2022, Institute of Electrical and Electronics Engineers Inc., pp. 169-173, 6th International Conference on Communication and Information Systems, ICCIS 2022, Chongqing, China, 14/10/22. https://doi.org/10.1109/ICCIS56375.2022.9998155

Performance of Slotted ALOHA for LoRa-ESL Based on Adaptive Backoff and Intra Slicing. / Abid Ali Khan, Malak; Ma, Hongbin; Muhammad Aamir, Syed et al.
2022 6th International Conference on Communication and Information Systems, ICCIS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 169-173 (2022 6th International Conference on Communication and Information Systems, ICCIS 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Abid Ali Khan, Malak

AU - Ma, Hongbin

AU - Muhammad Aamir, Syed

AU - Baris Cekderi, Anil

AU - Ahamed, Mustak

AU - Abdo Ali Alsumeri, Abdulraman

PY - 2022

Y1 - 2022

N2 - Slotted ALOHA implemented in the internet of things (IoT) uses the LoRaWAN media access control (MAC) protocol to improve its performance. Various backoff algorithms have been proposed in LoRaWAN to evaluate the delay, throughput, and packet loss rate (PLR). However, an adaptive backoff algorithm has been implemented in this paper to examine the performance metrics for electronic shelf labels (ESLs). The use of adaptive backoff optimizes the delay and the bandwidth (BW) for more efficient and meaningful communication with a certain degree of data loss. The results illustrate that the intra-slicing model and adaptive backoff estimate the optimal delay for each slice, starting with the best slicing priority for the end device (ED) which brings mobility into the network.

AB - Slotted ALOHA implemented in the internet of things (IoT) uses the LoRaWAN media access control (MAC) protocol to improve its performance. Various backoff algorithms have been proposed in LoRaWAN to evaluate the delay, throughput, and packet loss rate (PLR). However, an adaptive backoff algorithm has been implemented in this paper to examine the performance metrics for electronic shelf labels (ESLs). The use of adaptive backoff optimizes the delay and the bandwidth (BW) for more efficient and meaningful communication with a certain degree of data loss. The results illustrate that the intra-slicing model and adaptive backoff estimate the optimal delay for each slice, starting with the best slicing priority for the end device (ED) which brings mobility into the network.

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Abid Ali Khan M, Ma H, Muhammad Aamir S, Baris Cekderi A, Ahamed M, Abdo Ali Alsumeri A. Performance of Slotted ALOHA for LoRa-ESL Based on Adaptive Backoff and Intra Slicing. In 2022 6th International Conference on Communication and Information Systems, ICCIS 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 169-173. (2022 6th International Conference on Communication and Information Systems, ICCIS 2022). doi: 10.1109/ICCIS56375.2022.9998155

Performance of Slotted ALOHA for LoRa-ESL Based on Adaptive Backoff and Intra Slicing

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Keywords

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