Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zhang, Y., Luo, J., Hu, H.: Wireless mesh networking: Architectures, protocols and standards. Auerbach Publications (2006)
Lekcharoen, S., Chaochanchaikul, C., Jittawiriyanukoon, C.: A design fuzzy control policing mechanisms on quality of service support in wireless networks. In: Proceedings of the 3rd international conference on Mobile technology, applications and systems (October 2006)
Takahashi, A., Hands, D., Barriac, V.: Standardization Activities in the IUT for a QoE Assessment of IPTV. IEEE Communication Magazine 46(2) (2008)
Clausen, T., Jacquet, P.: Optimized link state routing protocol (OLSR) RFC 3626 (2006), http://www.ietf.org/rfc/rfc3626.txt
De Couto, D., Aguayo, D., Bicket, J., Morris, R.: A high-throughput path metric for multi-hop wireless routing. In: 9th Annual International Conference on Mobile Computing and Networking, pp. 134–146 (2003)
Cordeiro, W., Aguiar, E., Moreira, W., Abelem, A., Stanton, M.: Providing quality of service for mesh networks using link delay measurements. In: 16th International Conference on Computer Communications and Networks, pp. 991–996 (2007)
Gomes, R., Moreira, W., Nascimento, V., Abelem, A.: Dynamic metric choice routing for mesh networks. In: 7th International Information and Telecommunication Technologies Symposium, I2TS (2008)
Moreira, W., Aguiar, E., Abelém, A., Stanton, M.: Using multiple metrics with the optimized link state routing protocol for wireless mesh networks. 26° Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, Maio (2008)
Zadeh, L.A.: Fuzzy Sets. Information and Control 8 (1965)
Adeli, H., Sarma, K.C.: Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing. Wiley, Chichester (2006)
Zhang, R., Long, K.: A fuzzy routing mechanism in next-generation networks. In: Proc. IASTED International Conference on Intelligent Systems and Control (ISC) (October 2002)
Aboelela, E., Douligeris, C.: Routing in multimetric networks using a fuzzy link cost. In: Proceedings of the 2nd IEEE Symposium on Computers and Communications, ISCC ’97 (1997)
Anderson, D.H., Hall, L.O.: MR. FIS: Mamdani rule style fuzzy inference system. In: IEEE International Conference on Systems, Man, and Cybernetics (1999)
Institute of Electrical and Electronic Engineering. IEEE 802.11, 1999 Edition (ISO/IEC 8802-11: 1999): Information Technology - Telecom- munications and Information Exchange between Systems - Local and Metropolitan Area Network (1999)
Balam, J., Gibson, J.: Multiple descriptions and path diversity for voice communications over wireless mesh networks. IEEE Transactions on Multimedia, 1073–1088 (August 2007)
Foreman. Paris and News, http://trace.eas.asu.edu/yuv/index.html
Lambrecht, C., Verscheure, O.: Perceptual quality measure using a spatio-temporal model of the human visual system. In: Digital Video Compression: Algorithms and Technologies, pp. 450–461 (1996)
Wang, Z., Lu, L., Bovick, A.: Video quality assessment based on structural distortion measurement. Signal Processing: Image Communication, special issue on Objective Video Quality Metrics (2004)
Wang, Z., Bovik, A.: Image quality assessment from error visibility to structural similarity. IEEE Trans. Image Processing (2004)
Pinson, M., Wolf, S.: A new standardized method for objectively measuring video quality. IEEE Transacions on Broadcasting (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gomes, R., Junior, W., Cerqueira, E., Abelem, A. (2010). A QoE Fuzzy Routing Protocol for Wireless Mesh Networks. In: Zeadally, S., Cerqueira, E., Curado, M., Leszczuk, M. (eds) Future Multimedia Networking. FMN 2010. Lecture Notes in Computer Science, vol 6157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13789-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-13789-1_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13788-4
Online ISBN: 978-3-642-13789-1
eBook Packages: Computer ScienceComputer Science (R0)