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FUZPAG: A Fuzzy-Controlled Packet Aggregation Scheme for Wireless Mesh Networks
Karlstads universitet, Fakulteten för ekonomi, kommunikation och IT, Avdelningen för datavetenskap. (DISCO)
Karlstads universitet, Fakulteten för ekonomi, kommunikation och IT, Avdelningen för datavetenskap. (DISCO)ORCID-id: 0000-0002-9446-8143
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2010 (Engelska)Ingår i: Proceedings of the International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'10), IEEE , 2010, s. 778-782Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Wireless mesh networks (WMNs) are wireless multi-hop backhaul networks in which mesh routers relay traffic on behalf of clients or other routers. Due to large MAC layer overhead, applications such as Voice over IP, which send many small packets, show poor performance in WMNs. Packet aggregation increases the capacity of IEEE 802.11-based WMNs by aggregating small packets into larger ones and thereby reducing overhead. In order to have enough packets to aggregate, packets need to be delayed and buffered. Current aggregation mechanisms use fixed buffer delays or do not take into account the delay characteristics of the saturated IEEE 802.11 MAC layer. In this work, we present FUZPAG, a novel packet aggregation architecture for IEEE 802.11-based wireless mesh networks. It uses fuzzy control to determine the optimum aggregation buffer delay under the current channel utilization. By cooperation among neighboring nodes FUZPAG distributes the buffer delay in a fair way. We implemented and evaluated the system in a wireless mesh testbed. For different network topologies we show that FUZPAG outperforms standard aggregation in terms of end-to-end latency under a wide range of traffic patterns.

Ort, förlag, år, upplaga, sidor
IEEE , 2010. s. 778-782
Nyckelord [en]
Aggregates, Delay, Fuzzy control, IEEE 802.11 Standards, Throughput, Wireless communication, Wireless mesh networks
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-6444DOI: 10.1109/FSKD.2010.5569346ISBN: 978-1-4244-5931-5 (tryckt)OAI: oai:DiVA.org:kau-6444DiVA, id: diva2:354600
Konferens
The International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'10), Yantai, China, August 2010
Tillgänglig från: 2012-03-19 Skapad: 2010-10-04 Senast uppdaterad: 2018-01-12Bibliografiskt granskad
Ingår i avhandling
1. Cross-Layer Optimization of Voice over IP in Wireless Mesh Networks
Öppna denna publikation i ny flik eller fönster >>Cross-Layer Optimization of Voice over IP in Wireless Mesh Networks
2010 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Wireless Mesh Networks (WMNs) have emerged as a promising network technology, which combines the benefits of cellular networks and Wireless Local Area Networks (WLANs). In a WMN mesh routers wirelessly relay traffic on behalf of other mesh routers or clients and thereby provide coverage areas comparable to cellular networks, while having the low complexity and low costs of WLANs. As Voice over IP (VoIP) is a very important Internet service, it is critical for the success of WMNs to support high quality VoIP. However, currentWMNs are not adapted well for VoIP. The capacity and scalability of single-radio WMNs is low, especially for small packet transmissions of VoIP calls, because the MAC and PHY layer overhead for small packets is high. The scalability of multiradio/multi-channel WMNs is usually higher, since fewer nodes contend for a channel. However channel scheduling might be required, which can lead to excessive delay and jitter and result in poor VoIP quality. In this thesis we investigate how to deliver high quality VoIP in single radio and multi-radio networks by using cross-layer optimization. For single radio WMNs, we consider the use of IP packet aggregation and IEEE 802.11e transmission opportunities. We conclude that IP packet aggregation greatly improves the capacity and thereby the scalability of WMNs. We show that the key for providing good quality is to artificially delay packets prior to aggregation. We propose a distributed cross-layer optimization system, which, based on Fuzzy Logic Inference, derives an aggregation delay that enhances the capacity and quality. For multi-radio/multi-channel WMNs, we demonstrate the importance of qualityof- service-aware channel scheduling. We develop a quality-of-serviceaware channel scheduler that compared to a basic round-robin scheme significantly reduces jitter and in that way increases VoIP quality. Our analysis shows that there is a trade-off between the jitter of high priority VoIP traffic and the throughput of background TCP traffic. The proposed optimizations significantly increase the capacity of singleradio and multi-radio WMNs. This allows network operators to serve more users with an existing mesh infrastructure or provide better service delivery to existing users.

Ort, förlag, år, upplaga, sidor
Karlstad: Karlstad University, 2010. s. 33
Serie
Karlstad University Studies, ISSN 1403-8099 ; 2010:25
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-6280 (URN)978-91-7063-309-6  (ISBN)
Presentation
2010-10-25, 21A 342, Karlstads universitet, Karlstad, 10:00 (Engelska)
Opponent
Handledare
Tillgänglig från: 2010-10-08 Skapad: 2010-08-26 Senast uppdaterad: 2018-01-12Bibliografiskt granskad

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