Multi-commodity flow problem for multi-hop wireless networks with realistic smart antenna model

  • Authors:
  • Osama Bazan;Muhammad Jaseemuddin

  • Affiliations:
  • Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada;Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada

  • Venue:
  • NETWORKING'08 Proceedings of the 7th international IFIP-TC6 networking conference on AdHoc and sensor networks, wireless networks, next generation internet
  • Year:
  • 2008

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Abstract

Utilizing smart antennas in multi-hop wireless networks can boost their performance. However, most of the work done in the context of wireless adhoc and sensor networking assume ideal or over-simplistic antenna patterns that overrate the performance benefits. In this paper, we compute the optimal throughput of multi-hop wireless networks with realistic smart antenna model. Our goal is to evaluate the network performance degradation using real smart antenna as compared to using the ideal model. We derive a generic interference model that can accommodate any antenna radiation pattern. We formulate the problem as a multi-commodity flow problem with novel interference constraints derived from our generic interference model. Our numerical results show that using a real-world smart antenna in a dense network results in up to 55% degradation in the throughput as compared to the case of ideal flat-topped antenna, whereas the throughput degradation is as much as 37% in a sparse network.