QOS CATEGORIES ACTIVENESS-AWARE ADAPTIVE EDCA ALGORITHM FOR DENSE IOT NETWORKS Article Swipe
Mohammed A. Salem
,
Ibrahim F. Tarrad
,
Mohamed Youssef
,
Sherine M. Abd El-Kader
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.3271398
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.3271398
IEEE 802.11 networks have a great role to play in supporting and deploying of the Internet of Things (IoT). The realization of IoT depends on the ability of the network to handle a massive number of stations and transmissions and to support Quality of Service (QoS). IEEE 802.11 networks enable the QoS by applying the Enhanced Distributed Channel Access (EDCA) with static parameters regardless of existing network capacity or which Access Category (AC) of QoS is already active. Our objective in this paper is to improve the efficiency of the uplink access in 802.11 networks; therefore we proposed an algorithm called QoS Categories Activeness-Aware Adaptive EDCA Algorithm (QCAAAE) which adapts Contention Window (CW) size, and Arbitration Inter-Frame Space Number (AIFSN) values depending on the number of associated Stations (STAs) and considering the presence of each AC. For different traffic scenarios, the simulation results confirm the outperformance of the proposed algorithm in terms of throughput (increased on average 23%) and retransmission attempts rate (decreased on average 47%) considering acceptable delay for sensitive delay services
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5281/zenodo.3271398
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4288285025
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4288285025Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.3271398Digital Object Identifier
- Title
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QOS CATEGORIES ACTIVENESS-AWARE ADAPTIVE EDCA ALGORITHM FOR DENSE IOT NETWORKSWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-07-08Full publication date if available
- Authors
-
Mohammed A. Salem, Ibrahim F. Tarrad, Mohamed Youssef, Sherine M. Abd El-KaderList of authors in order
- Landing page
-
https://doi.org/10.5281/zenodo.3271398Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.3271398Direct OA link when available
- Concepts
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Internet of Things, Computer science, Quality of service, Algorithm, Quality (philosophy), Computer network, Artificial intelligence, Distributed computing, Computer security, Philosophy, EpistemologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Distributed | 56 |
| abstract_inverted_index.Inter-Frame | 116 |
| abstract_inverted_index.considering | 130, 166 |
| abstract_inverted_index.realization | 20 |
| abstract_inverted_index.transmissions | 38 |
| abstract_inverted_index.outperformance | 145 |
| abstract_inverted_index.retransmission | 159 |
| abstract_inverted_index.Activeness-Aware | 103 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.37283202 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |