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Multi-Access Communications in Wireless Mesh Networks by Virtualization

Multi-Access Communications in Wireless Mesh Networks by Virtualization

Susana Sargento, Ricardo Matos, Karin Anna Hummel, Andrea Hess, Stavros Toumpis, Yiannis Tselekounis, George D. Stamoulis, Yahya Al-Hazmi, Muhammad Ali, Hermann de Meer
Copyright: © 2012 |Pages: 42
ISBN13: 9781466600171|ISBN10: 1466600179|EISBN13: 9781466600188
DOI: 10.4018/978-1-4666-0017-1.ch005
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MLA

Sargento, Susana, et al. "Multi-Access Communications in Wireless Mesh Networks by Virtualization." Wireless Multi-Access Environments and Quality of Service Provisioning: Solutions and Application, edited by Gabriel-Miro Muntean and Ramona Trestian, IGI Global, 2012, pp. 97-138. https://doi.org/10.4018/978-1-4666-0017-1.ch005

APA

Sargento, S., Matos, R., Hummel, K. A., Hess, A., Toumpis, S., Tselekounis, Y., Stamoulis, G. D., Al-Hazmi, Y., Ali, M., & de Meer, H. (2012). Multi-Access Communications in Wireless Mesh Networks by Virtualization. In G. Muntean & R. Trestian (Eds.), Wireless Multi-Access Environments and Quality of Service Provisioning: Solutions and Application (pp. 97-138). IGI Global. https://doi.org/10.4018/978-1-4666-0017-1.ch005

Chicago

Sargento, Susana, et al. "Multi-Access Communications in Wireless Mesh Networks by Virtualization." In Wireless Multi-Access Environments and Quality of Service Provisioning: Solutions and Application, edited by Gabriel-Miro Muntean and Ramona Trestian, 97-138. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0017-1.ch005

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Abstract

This chapter presents an architecture for context-aware Virtual Networks (VNs) that provides user-driven multi-access communication. The architecture is dedicated and appropriate for the flexibility provided by Wireless Mesh Networks. According to this architecture, VNs with different context characteristics such as Quality of Service (QoS), mobility, and security are built to support communications with different characteristics that best fit the users’ needs. The architecture is modeled both through a probabilistic and an optimization approach to provide quantitative insights into its performance. The probabilistic model quantifies the overhead on the architecture in terms of networking delays induced due to the VN management (searching, creation, and management). The optimization model provides insights into the competition of the VNs for the limited bandwidth resources. Indicative results of the models show the feasibility of the architecture, the upper bounds in terms of number of supported VNs to achieve good quality communications, and the relative placement of the flows in different, competing VNs.

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