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Part of the book series: Operations Research/Computer Science Interfaces ((ORCS,volume 44))

Abstract

Communication constraints, in the context of scheduling in a wireless ad hoc (multi-hop) network, are a set of rules defining permissible concurrent transmissions. These rules may be imposed either by technological limitations of the transceiver, or by the operational mode of the network. This paper considers 24 distinct communication constraint sets (CCS) by comparing the average cardinality of a maximal schedule under each CCS using a greedy edge selection heuristic. The average cardinality as a function of the network size is studied via Monte Carlo simulation. The simulation results are useful for network and transceiver designers by identifying the sensitivity of scheduling performance to the CCS. In particular, the results illuminate that the performance gain obtainable by removing each constraint is highly dependent upon the overall CCS.

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References

  1. E. Arikan, “Some complexity results about packet radio networks,” IEEE Transactions on Information Theory, vol. IT-30, no. 4, pp. 681–685, July 1984.

    Google Scholar 

  2. J. Grönkvist and A. Hannson, “Comparison between graph-based and interference-based STDMA scheduling,” in Proceedings of ACMMobiHoc, Long Beach, CA, October 2001, pp. 255–258.

    Google Scholar 

  3. A. Behzad and I. Rubin, “On the performance of graph-based scheduling algorithms for packet radio networks,” in Proceedings of IEEE GlobeCom, vol. 6, San Francisco, CA, December 2003, pp. 3432–3436.

    Google Scholar 

  4. R. Negi and A. Rajeswaran, “Physical layer effect on MAC performance in ad-hoc wireless networks,” in Proceedings of CIIT, Scottsdale, AZ, November 2003, pp. 1–6.

    Google Scholar 

  5. K. Jain, J. Padhye, V. Padmanabhan, and L. Qiu, “Impact of interference on multi-hop wireless network performance,” Wireless Networks, vol. 11, no. 4, pp. 471–487, 2005.

    Google Scholar 

  6. S. Ramanathan and E. Lloyd, “Scheduling algorithms for multihop radio networks,” IEEE/ACM Transactions on Networking, vol. 1, no. 2, pp. 166–177, April 1993.

    Google Scholar 

  7. E. Lloyd and S. Ramanathan, “On the complexity of distance-2 coloring,” in Proceedings of IEEE ICC, Chicago, IL, May 1992, pp. 71–74.

    Google Scholar 

  8. L. Tassiulas, “Scheduling and performance limits of networks with constantly changing topology,” IEEE Transactions on Information Theory, vol. 43, no. 3, pp. 1067–1073, May 1997.

    Google Scholar 

  9. D. Peleg, Distributed computing: a locality–sensitive approach. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2000.

    Google Scholar 

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Weber, S. (2008). Communication Constraints and Ad Hoc Scheduling. In: Raghavan, S., Golden, B., Wasil, E. (eds) Telecommunications Modeling, Policy, and Technology. Operations Research/Computer Science Interfaces, vol 44. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77780-1_13

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  • DOI: https://doi.org/10.1007/978-0-387-77780-1_13

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-77779-5

  • Online ISBN: 978-0-387-77780-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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