Providing Quality of Service for Mesh Networks Using Link Delay Measurements

Cordeiro, Weverton; Aguiar, Elisangela; Moreira, Waldir; Abelém, Antônio; Stanton, Michael

doi:10.1109/icccn.2007.4317947

Cited by 39 publications

(27 citation statements)

References 6 publications

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“…The main idea of OLSR Minimum Delay [15] is to measure the link delay, calculating it through the Ad hoc Probe technique. Therefore, the calculation of the routing table can be based on the delay calculated to each neighboring node.…”

Section: Olsr-mdmentioning

confidence: 99%

“…The OLSR -Dynamic Choice (OLSR-DC) extension [16] aims to provide QoS support, giving different treatment to traffic from applications that use TCP and UDP, using the ETX metric [14] for routing TCP packets and MD metric [15] for routing UDP of packets. The protocol can also differentiate the routing of TCP and UDP packets, this is achieved due to each packet be routed according to the metrics that best reflect their needs.…”

Section: Olsr-dcmentioning

confidence: 99%

“…The fuzzy system creates a Fuzzy Link Cost (FLC) whose parameter val-ues are based on link quality metrics, namely Expected Transmission Count (ETX) [14] and Minimum Delay (MD) [15], which are collected from the network, allowing the use of this FLC value for routing multimedia-based User Datagram Protocol (UDP) packets. Transmission Control Protocol (TCP) packets continue to be routed according to the ETX metric, as in [16].…”

Section: Introductionmentioning

confidence: 99%

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Using fuzzy link cost and dynamic choice of link quality metrics to achieve QoS and QoE in wireless mesh networks

Gomes

Moreira

Cerqueira

et al. 2011

Journal of Network and Computer Applications

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The growth of multimedia applications and wireless systems requires a new behavior of routing protocols for Wireless Mesh Networks (WMNs). It is necessary to provide not only the minimum requirements for Quality of Service (QoS), but also to assure the Quality of Experience (QoE) support for multimedia applications. In this context, the usage of only one link quality metric for routing different types of packets within the network is not enough to ensure applications with suitable QoS and QoE levels. This paper presents a variation of the WMN routing protocol Optimized Link State Routing (OLSR), to achieve QoS and QoE requirements for multimedia applications. It is based on the dynamic choice of metrics and in a Fuzzy Link Cost (FLC) to determine the best routes for multimedia packets. The proposed FLC metric is based on a fuzzy system that uses two link quality metrics, namely Expected Transmission Count (ETX) and Minimum Delay (MD), to define a new metric. Simulations were performed to demonstrate the performance of the proposed metric compared to the ones present in the original OLSR and other current versions of this protocol. For comparison purposes, it was considered different performance evaluation QoS metrics and the quality of videos received by the user in a higher competition scenario.

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Section: Olsr-mdmentioning

confidence: 99%

Section: Olsr-dcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Using fuzzy link cost and dynamic choice of link quality metrics to achieve QoS and QoE in wireless mesh networks

Gomes

Moreira

Cerqueira

et al. 2011

Journal of Network and Computer Applications

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“…Active probing mechanism implemented in the design of ETT to capture the transmission rate may lead to over estimation during the time when the communication channels are quite busy. Although minimum delay (MD) [53] and improved expected transmission time (iETT) [54] are delay based routing metrics, but both of them inherit the basic drawbacks of ETT.…”

Section: Expected Transmission Timementioning

confidence: 99%

A taxonomy of cross layer routing metrics for wireless mesh networks

Ngadi

Ali

Abdullah

et al. 2012

J Wireless Com Network

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Multi-hop, multi-channel, and multi-radio wireless mesh networks (WMNs) are emerging as promising field of wireless technology with self-organizing and self-healing features for internet and real time applications, i.e., VoIP and Video over IP. Interoperability feature of WMNs have made them to integrate easily with other network technologies like wired networks, WiFi, WiMax, MANETs, and cellular networks. WMNs are gaining popularity due to their high network throughput which highly depends on the routing procedures. Routing algorithms like optimized link state routing protocol and dynamic source routing make efficient routing decisions on the basis of routing metrics which actually predict the cost of link quality. Most of the routing protocols and routing metrics implemented in WMNs are actually designed for mobile ad hoc networks (MANETs). Since WMNs have different characteristics and limitations as compared to MANETs, so the routing metrics design for MANETs do not perform well in WMNs. Furthermore, quality of service (QoS) and throughput of the network in WMNs can be enhanced by using cross layer routing approach and by deploying multi-channel multi-radio (MCMR) scenarios in each relay node. This article discusses a design taxonomy, limitations and qualitative comparison of existing routing metrics for QoS in MCMR WMNs with respect to routing parameters, i.e., transmission rate, inter-flow interference, intra-flow interference, congestion, and channel diversity. Moreover, our taxonomy also opens the door up for new research areas in the design of cross layer routing metrics for MCMR radio WMNs for high throughput IP connectivity.

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“…The OLSR extension based on ETX metric proposed in (De Couto et al, 2003) aims to find routes with the lowest expected number of transmissions that are necessary to ensure that a package can be delivered and has its arrival confirmed by the final destination. Other approach is the OLSR-MD (Cordeiro et al, 2007) that measures the link delay, calculating it through the Ad hoc Probe technique. Therefore, the calculation of the routing table can be based on the delay calculated to each neighboring node.…”

Section: Quality Of Service Issuesmentioning

confidence: 99%