A cognitive approach for performance enhancement of wireless mesh networks

Authors:
Farshad Javadi;Abbas Jamalipour
Affiliations:
School of Electrical and Information Engineering, The University of Sydney, NSW, Australia;School of Electrical and Information Engineering, The University of Sydney, NSW, Australia
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

Citing 5
Cited 1

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A survey on wireless mesh networks

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Quality-Aware Routing Metrics for Time-Varying Wireless Mesh Networks

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A multi-path cognitive resource management mechanism for QoS provisioning in wireless mesh networks

Wireless Networks

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Abstract

Providing the required quality of service (QoS) for clients in a wireless mesh network (WMN) is a challenging task. This is due to the complex architecture of the WMN and unpredictable behavior of the wireless links and the intermediate nodes. This can be alleviated by introducing a cognitive mechanism within the WMN. In this paper, a WMN is developed, where the data traffic is forwarded in a cognitive manner via multiple paths. The aims are to maximize the client's achievable performance (e.g., data rate, delay) and minimize the imposed congestion in the network. The proposed mechanism constantly perceives the network performance through feedback loops, learns and predicts the performance of the paths, and takes appropriate decisions. The decision includes a set of routing paths and their corresponding data rates. The resulted network is capable of adapting itself with the changes, whilst improving its performance. The proposed mechanism is simulated using OMNET discrete event simulator and subsequently validated.