Routing in multimetric networks using a fuzzy link cost
ISCC '97 Proceedings of the 2nd IEEE Symposium on Computers and Communications (ISCC '97)
A high-throughput path metric for multi-hop wireless routing
Proceedings of the 9th annual international conference on Mobile computing and networking
Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing
Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing
A design fuzzy control policing mechanisms on quality of service support in wireless networks
Mobility '06 Proceedings of the 3rd international conference on Mobile technology, applications & systems
Multiple Descriptions and Path Diversity for Voice Communications Over Wireless Mesh Networks
IEEE Transactions on Multimedia
Standardization activities in the ITU for a QoE assessment of IPTV
IEEE Communications Magazine
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
A fuzzy queue-aware routing approach for wireless mesh networks
Multimedia Tools and Applications
Neuro-Fuzzy approach to video transmission over ZigBee
Neurocomputing
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Nowadays wireless systems changing our life experience, allowing ubiquitous communications, attracting new users, and supporting new applications, such as video streaming, VoIP, Mobile TV and other kind of multimedia applications. The combination of wireless networks and multimedia content distribution requires a new behavior of routing protocols for Wireless Mesh Networks (WMNs). Hence, new protocols must be developed to increase the user perception and optimize the usage of network resources. 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. Simulations were carried out to show the benefits of the proposed metric regarding user experience compared to existing versions of OLSR.