An efficient joint channel assignment and QoS routing protocol for IEEE 802.11 multi-radio multi-channel wireless mesh networks

  • Authors:

  • Yuhuai Peng;Yao Yu;Lei Guo;Dingde Jiang;Qiming Gai

  • Affiliations:

  • College of Information Science and Engineering, Northeastern University, P.O. Box 365, Shenyang 110819, Liaoning, China;College of Information Science and Engineering, Northeastern University, P.O. Box 365, Shenyang 110819, Liaoning, China;College of Information Science and Engineering, Northeastern University, P.O. Box 365, Shenyang 110819, Liaoning, China;College of Information Science and Engineering, Northeastern University, P.O. Box 365, Shenyang 110819, Liaoning, China;College of Information Science and Engineering, Northeastern University, P.O. Box 365, Shenyang 110819, Liaoning, China

  • Venue:
  • Journal of Network and Computer Applications
  • Year:
  • 2013

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Abstract

With the emerging of video, voice over IP (VoIP) and other real-time multimedia services, more and more people pay attention to quality of service (QoS) issues in terms of the bandwidth, delay and jitter, etc. As one effective way of broadband wireless access, it has become imperative for wireless mesh networks (WMNs) to provide QoS guarantee. Existing works mostly modify QoS architecture dedicated for ad hoc or sensor networks, and focus on single radio and single channel case. Meanwhile, they study the QoS routing or MAC protocol from view of isolated layer. In this paper, we propose a novel cross-layer QoS-aware routing protocol on OLSR (CLQ-OLSR) to support real-time multimedia communication by efficiently exploiting multi-radio and multi-channel method. By constructing multi-layer virtual logical mapping over physical topology, we implement two sets of routing mechanisms, physical modified OLSR protocol (M-OLSR) and logical routing, to accommodate network traffic. The proposed CLQ-OLSR is based on a distributed bandwidth estimation scheme, implemented at each node for estimating the available bandwidth on each associated channel. By piggybacking the bandwidth information in HELLO and topology control (TC) messages, each node disseminates information of topology and available bandwidth to other nodes in the whole network in an efficient way. From topology and bandwidth information, the optimized path can be identified. Finally, we conduct extensive simulation to verify the performance of CLQ-OLSR in different scenarios on QualNet platform. The results demonstrate that our proposed CLQ-OLSR outperforms single radio OLSR, multi-radio OLSR and OLSR with differentiated services (DiffServ) in terms of network aggregate throughput, end-to-end packet delivery ratio, delay and delay jitter with reasonable message overheads and hardware costs. In particular, the network aggregate throughput for CLQ-OLSR can almost be improved by 300% compared with the single radio case.