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Cano, Christina and Malone, David (2017) Identification and insight into a long transitory phase in random-access protocols. In: 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt). IEEE. ISBN 978-3-9018-8290-6
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Abstract
In this work we show that random-access protocols, which are used in a range of networks (e.g. WiFi, power line communications and Internet of Things), may experience a high-throughput, extremely long (of the order of hours) transitory phase. This behaviour is not highlighted by common analysis techniques and experimental evaluations, which can lead to incorrect prediction of network performance. We identify factors that led to this transitory behaviour being overlooked in previous work. Via numerical analysis and experimental evaluation, we establish under which conditions this transitory phase occurs. Additionally, we give insight into the duration of this transitory period and its statistical properties.
| Item Type: | Book Section |
|---|---|
| Additional Information: | This paper was presented at 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt); 15-19 May 2017 in Paris, France. |
| Keywords: | Throughput; Analytical models; Protocols; Mathematical model; Optimization; Mobile computing; Mobile communication; access protocols; computer network performance evaluation; numerical analysis; statistical analysis; wireless LAN; long transitory phase; random access protocol; high-throughput; network performance prediction; numerical analysis; experimental evaluation; statistical properties; Wi-Fi network; |
| Academic Unit: | Faculty of Science and Engineering > Mathematics and Statistics Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 12005 |
| Identification Number: | 10.23919/WIOPT.2017.7959898 |
| Depositing User: | Dr. David Malone |
| Date Deposited: | 06 Dec 2019 12:04 |
| Publisher: | IEEE |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/12005 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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