Design and Performance Evaluation of IAR: Interference-Aware Routing Metric for Wireless Mesh Networks

  • Authors:
  • Sonia Waharte;Brent Ishibashi;Raouf Boutaba;Djamal-Eddine Meddour

  • Affiliations:
  • David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada N2L 3G1;David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada N2L 3G1;David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada N2L 3G1;Orange Labs, Lannion, France 22300

  • Venue:
  • Mobile Networks and Applications
  • Year:
  • 2009

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Abstract

Multihop wireless mesh networks are an attractive solution for providing last-mile connectivity. However, the shared nature of the transmission medium makes it challenging to fully exploit these networks. In an attempt to improve the radio resource utilization, several routing metrics have been specifically designed for wireless mesh networks. However none of these routing metrics efficiently tackles interference issues. Moreover, although some evaluations have been conducted to assess the performance of these metrics in some contrived scenarios, no overall comparison has been performed. The contributions of this paper are consequently twofold. First, we propose a new routing metric, Interference-Aware Routing metric (IAR), specifically designed for WMNs. IAR uses MAC-level information to measure the share of the channel that each link is able to utilize effectively. As a result, paths that exhibit the least interference will be selected to route the data traffic. Then we evaluate the performance of IAR against some of the most popular routing metrics currently used in wireless mesh networks: Hop Count, Blocking Metric, Expected Transmission Count (ETX), Expected Transmission Time (ETT), Modified ETX (mETX), Network Allocation Vector Count (NAVC) and Metric of Interference and Channel-Switching (MIC). We show under various simulation scenarios that IAR performs the best in terms of end-to-end delay and packet loss, and provides the fairest resource utilization.