Probability-based opportunity dynamic adaptation (PODA) of contention window for home M2M networks
With the emergence of the Internet of Things (IoT), the growing use of autonomous sensing and actuating devices in areas such as smart grid, e-healthcare, home networking, and machine-to-machine (M2M) communication has become an important communication paradigm. Nonetheless, to fully exploit the app...
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Academic Press
2019
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my.upm.eprints.818442020-08-27T08:37:29Z http://psasir.upm.edu.my/id/eprint/81844/ Probability-based opportunity dynamic adaptation (PODA) of contention window for home M2M networks Liew, Jiun Terng Hashim, Fazirulhisyam Sali, Aduwati A. Rasid, Mohd Fadlee Jamalipour, Abbas With the emergence of the Internet of Things (IoT), the growing use of autonomous sensing and actuating devices in areas such as smart grid, e-healthcare, home networking, and machine-to-machine (M2M) communication has become an important communication paradigm. Nonetheless, to fully exploit the applications facilitated by M2M communication, service requirements such as data throughput, scalability and reliability must be in place. This paper proposes a new backoff adaptation mechanism known as probability-based opportunity dynamic adaptation (PODA) for M2M communication using the IEEE 802.11ah protocol. The proposed PODA is an enhanced version of the binary exponential backoff (BEB) where a station estimates the number of contending stations in a distributed manner and adaptively tunes its minimum contention window (CW) prior to the contention process for better network throughput and packet delivery ratio. Owing to its great flexibility and ease of implementation, BEB has been extended to home M2M communication such as wireless sensor networks and smart grid technologies without relying on wide area communication. However, the current form of BEB has its shortcomings in the emerging M2M paradigm. The adaptation of CW in PODA is based on the optimal station's access opportunity to improve network performance instead of direct CW scaling. Using the proposed adaptation method, the network throughput can be improved by as much as 18 percent in the home M2M network studied, while enhancing network reliability and fairness. Academic Press 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81844/1/Probability-based%20opportunity%20dynamic%20adaptation%20%28PODA%29%20of%20contention%20window%20for%20home%20M2M%20networks.pdf Liew, Jiun Terng and Hashim, Fazirulhisyam and Sali, Aduwati and A. Rasid, Mohd Fadlee and Jamalipour, Abbas (2019) Probability-based opportunity dynamic adaptation (PODA) of contention window for home M2M networks. Journal of Network and Computer Applications, 144. pp. 1-12. ISSN 1095-8592 https://www.sciencedirect.com/science/article/pii/S1084804519302164 10.1016/j.jnca.2019.06.011 |
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With the emergence of the Internet of Things (IoT), the growing use of autonomous sensing and actuating devices in areas such as smart grid, e-healthcare, home networking, and machine-to-machine (M2M) communication has become an important communication paradigm. Nonetheless, to fully exploit the applications facilitated by M2M communication, service requirements such as data throughput, scalability and reliability must be in place. This paper proposes a new backoff adaptation mechanism known as probability-based opportunity dynamic adaptation (PODA) for M2M communication using the IEEE 802.11ah protocol. The proposed PODA is an enhanced version of the binary exponential backoff (BEB) where a station estimates the number of contending stations in a distributed manner and adaptively tunes its minimum contention window (CW) prior to the contention process for better network throughput and packet delivery ratio. Owing to its great flexibility and ease of implementation, BEB has been extended to home M2M communication such as wireless sensor networks and smart grid technologies without relying on wide area communication. However, the current form of BEB has its shortcomings in the emerging M2M paradigm. The adaptation of CW in PODA is based on the optimal station's access opportunity to improve network performance instead of direct CW scaling. Using the proposed adaptation method, the network throughput can be improved by as much as 18 percent in the home M2M network studied, while enhancing network reliability and fairness. |
format |
Article |
author |
Liew, Jiun Terng Hashim, Fazirulhisyam Sali, Aduwati A. Rasid, Mohd Fadlee Jamalipour, Abbas |
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Liew, Jiun Terng Hashim, Fazirulhisyam Sali, Aduwati A. Rasid, Mohd Fadlee Jamalipour, Abbas Probability-based opportunity dynamic adaptation (PODA) of contention window for home M2M networks |
author_facet |
Liew, Jiun Terng Hashim, Fazirulhisyam Sali, Aduwati A. Rasid, Mohd Fadlee Jamalipour, Abbas |
author_sort |
Liew, Jiun Terng |
title |
Probability-based opportunity dynamic adaptation (PODA) of contention window for home M2M networks |
title_short |
Probability-based opportunity dynamic adaptation (PODA) of contention window for home M2M networks |
title_full |
Probability-based opportunity dynamic adaptation (PODA) of contention window for home M2M networks |
title_fullStr |
Probability-based opportunity dynamic adaptation (PODA) of contention window for home M2M networks |
title_full_unstemmed |
Probability-based opportunity dynamic adaptation (PODA) of contention window for home M2M networks |
title_sort |
probability-based opportunity dynamic adaptation (poda) of contention window for home m2m networks |
publisher |
Academic Press |
publishDate |
2019 |
url |
http://psasir.upm.edu.my/id/eprint/81844/1/Probability-based%20opportunity%20dynamic%20adaptation%20%28PODA%29%20of%20contention%20window%20for%20home%20M2M%20networks.pdf http://psasir.upm.edu.my/id/eprint/81844/ https://www.sciencedirect.com/science/article/pii/S1084804519302164 |
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