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Main Title: Transmission rate sampling and selection for reliable wireless multicast
Author(s): Geithner, Thomas
Sivrikaya, Fikret
Type: Article
Abstract: The multicast communication concept offers a scalable and efficient method for many classes of applications; however, its potential remains largely unexploited when it comes to link-layer multicasting in wireless local area networks. The fundamental lacking feature for this is a transmission rate control mechanism that offers higher transmission performance and lower channel utilization, while ensuring the reliability of wireless multicast transmissions. This is much harder to achieve in a scalable manner for multicast when compared with unicast transmissions, which employs explicit acknowledgment mechanisms for rate control. This article introduces EWRiM, a reliable multicast transmission rate control protocol for IEEE 802.11 networks. It adapts the transmission rate sampling concept to multicast through an aggregated receiver feedback scheme and combines it with a sliding window forward error correction (FEC) mechanism for ensuring reliability at the link layer. An inherent novelty of EWRiM is the close interaction of its FEC and transmission rate selection components to address the performance-reliability tradeoff in multicast communications. The performance of EWRiM was tested in three scenarios with intrinsically different traffic patterns; namely, music streaming scenario, large data frame delivery scenario, and an IoT scenario with frequent distribution of small data packets. Evaluation results demonstrate that the proposed approach adapts well to all of these realistic multicast traffic scenarios and provides significant improvements over the legacy multicast- and unicast-based transmissions.
Subject(s): multicast communication concept
wireless networks
wireless multicast
Issue Date: 30-Sep-2020
Date Available: 30-Nov-2020
Language Code: en
DDC Class: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Sponsor/Funder: DFG, 414044773, Open Access Publizieren 2019 - 2020 / Technische Universität Berlin
Journal Title: Wireless Communications and Mobile Computing
Publisher: Hindawi
Volume: 2020
Article Number: 8850198
Publisher DOI: 10.1155/2020/8850198
EISSN: 1530-8677
ISSN: 1530-8669
TU Affiliation(s): Fak. 4 Elektrotechnik und Informatik » Inst. Wirtschaftsinformatik und Quantitative Methoden » FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)
Appears in Collections:Technische Universität Berlin » Publications

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