WIRS: Resource Reservation and Traffic Regulation for QoS Support in Wireless Mesh Networks

Wireless mesh networks (WMNs) are expected to be a next step toward future generation of wireless networks due to their rapidly deployable nature and to the wide variety of their potential use. On the other hand, the daily increase of multimedia applications over wireless networks has generated a vital need to provide Quality of Service (QoS) support in WMNs, and works in this area are not sufficient for the moment. In this paper, we propose a QoS model, named WiRS, to support real time traffic over WMNs. WiRS consists of an admission control and two traffic regulation schemes. The admission control is based on a temporary reservation process allowing multiple flows to opportunistically benefit from reserved resources when they are not used by their correspondent flow. The traffic regulation schemes aim to dynamically adjust the injected traffic into the mesh backbone in order to avoid the congestion and to maintain the QoS requirements. A service differentiation mechanism is provided also through one of the regulation schemes in order to control the best effort traffic. Extensive simulations show that our proposal is able to provide stable end-to-end delay, high throughput and improved packet delivery ratio.

[1]  Mario Gerla,et al.  GloMoSim: A Scalable Network Simulation Environment , 2002 .

[2]  Andrew T. Campbell,et al.  SWAN: service differentiation in stateless wireless ad hoc networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[3]  Elizabeth M. Belding-Royer,et al.  Measurement-driven admission control on wireless backhaul networks , 2008, Comput. Commun..

[4]  Ieee Microwave Theory,et al.  Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems — Amendment for Physical and Medium Access Control Layers for Combined Fixed and Mobile Operation in Licensed Bands , 2003 .

[5]  Xiaodong Wang,et al.  Modelling and performance analysis of the distributed scheduler in IEEE 802.16 mesh mode , 2005, MobiHoc '05.

[6]  Abdelhakim Hafid,et al.  Traffic adaptation in wireless mesh networks: Fuzzy-based model , 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

[7]  Ralf Steinmetz,et al.  Performance Analysis of the Real-time Capabilities of Coordinated Centralized Scheduling in 802.16 Mesh Mode , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[8]  Weihua Zhuang,et al.  Novel packet-level resource allocation with effective QoS provisioning for wireless mesh networks , 2009, IEEE Trans. Wirel. Commun..

[9]  Matthias Hollick,et al.  QoS in Wireless Mesh Networks : Challenges, Pitfalls, and Roadmap to its Realization , 2007 .

[10]  Virtual Bridged,et al.  IEEE Standards for Local and Metropolitan Area Networks: Specification for 802.3 Full Duplex Operation , 1997, IEEE Std 802.3x-1997 and IEEE Std 802.3y-1997 (Supplement to ISO/IEC 8802-3: 1996/ANSI/IEEE Std 802.3, 1996 Edition).