skip to main content
10.4108/ICST.VALUETOOLS2008.4588guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
research-article
Free Access

On the performance of expected transmission count (ETX) for wireless mesh networks

Published:20 October 2008Publication History

ABSTRACT

The Expected Transmission Count (ETX) metric is an advanced routing metric for finding high-throughput paths in multi-hop wireless networks. However, it has been determined that ETX is not immune to load sensitivity and route oscillations in a single radio environment. Route oscillations refer to the situation where packet transmission switches between two or more routes due to congestion. This has the effect of degrading performance of the network, as the routing protocol may select a non optimal path. In this paper we avoid the route oscillation problem using a route stabilization technique which forces data transmission on a fixed route. We implement this solution in a popular routing protocol, AODV, by disabling both error messages and periodic updating messages. Therefore, packet transmissions will stay on the routes initially found by AODV. ETX is compared with a widely used routing metric, HOPS, for reference purposes. We find ETX greatly improves initial route selection in AODV compared to HOPS in networks in which only single flows exists. For networks in which there are multiple simultaneous flows, ETX behaves similar to HOPS in initial route selection. Although the known cause of performance degradation is eliminated, the ETX metric still shows anomalous behavior. We determine that a major cause of the poor performance of ETX is additional collisions due to extra overhead. We propose a modified solution in which we repeatedly broadcast RREQ (Route Request) packets. Simulation results show that our modified solution improves ETX in the initial route selection in both single flows and multiple flows cases.

References

  1. I. F. Akyildiz and W. Xudong, "A survey on wireless mesh networks," IEEE Communications Magazine, vol. 43, pp. 23--30, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. W. Tsai-Wei and H. Hung-Yun, "Interworking Wireless Mesh Networks: Performance Characterization and Perspectives," IEEE GLOBECOM. pp. 4846--4851, 2007.Google ScholarGoogle Scholar
  3. V. Navda, A. Kashyap, S. Ganguly, and R. Izmailov, "Real-time Video Stream Aggregation in Wireless Mesh Network," in Personal, Indoor and Mobile Radio Communications, IEEE 17th International Symposium, pp. 1--7, 2006.Google ScholarGoogle Scholar
  4. K. Stuhlmuller, N. Farber, M. Link and B. Girod "Analysis of video transmission over lossy channels," Selected Areas in Communications, IEEE Journal, vol. 18, pp. 1012--1032, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. S. Lakshminarayanan, S. Ion, B. Hari, and H. K. Randy, "OverQos: an overlay based architecture for enhancing internet Qos," in Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation--USENIX Association, vol. 1, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. A. Raniwala and C. Tzi-cker, "Architecture and algorithms for an IEEE 802.11-based multi-channel wireless mesh network," IEEE INFOCOM. vol. 3, pp. 2223--2234, 2005.Google ScholarGoogle Scholar
  7. R. K. Balan, B. P. Lee, K. R. R. Kumar, L. Jacob, W. K. G. Seah, and A. L. Ananda, "TCP HACK: a mechanism to improve performance over lossy links," Computer Networks, vol. 39, pp. 347--361, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  8. C. Parsa, and J. J. Garcia-Luna-Aceves, "TULIP: A link-level protocol for improving TCP over wireless links," IEEE WCNC. vol. 3, pp. 1253--1257, 1999.Google ScholarGoogle Scholar
  9. C. Rose, "CDMA codeword optimization: interference avoidance and convergence via class warfare," Information Theory, IEEE Transactions, vol. 47, pp. 2368--2382, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. K. Zongwu, L. Layuan, S. Qiang and C. Nianshen, "A QoS Multicast Routing Algorithm for Wireless Mesh Networks," in Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD Eighth ACIS International Conference, pp. 835--840, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. L. Lianggui, and F. Guangzeng, "Mean field network based QoS routing scheme in wireless mesh networks," in Wireless Communications, Networking and Mobile Computing, Proceedings. International Conference, pp. 1110--1113, 2005.Google ScholarGoogle Scholar
  12. K. Wang, M.-g. Peng, and W.-b. Wang, "Distributed scheduling based on polling policy with maximal spatial reuse in multi-hop WMNs," The Journal of China Universities of Posts and Telecommunications, vol. 14, pp. 22--27, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  13. V. D. Park, and M. S. Corson, "A highly adaptive distributed routing algorithm for mobile wireless networks," IEEE INFOCOM. vol. 3, pp. 1405--1413, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. R. Ashish, G. Kartik, and C. Tzi-cker, "Centralized channel assignment and routing algorithms for multichannel wireless mesh networks," SIGMOBILE Mob. Comput. Commun. Rev., vol. 8, pp. 50--65, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. D. De Couto, D. Aguayo, J. Bicket, and R. Morris, "A high-throughput path metric for multi-hop wireless routing," MobiCom '03, pp. 134--146, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. D. De Couto, "High-Throughput Routing for Multi-Hop Wireless Networks" PHD thesis, Massachusetts Institute of Technology, USA, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. R. Draves, J. Padhye, and B. Zill, "Comparison of routing metrics for static multi-hop wireless networks," SIGCOMM '04, pp. 133--144, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. D. Johnson and G. Hancke. "Comparison of two routing metrics in OLSR on a grid based mesh network." from http://wirelessafrica.meraka.org.za/wiki/images/8/8d/Elsevier2008_OLSR_compare.pdf.Google ScholarGoogle Scholar
  19. T. T. Yun, "Experimental analysis on route oscillations in ETX within wireless mesh networks" M.S. thesis, University of Sydney, Australia, 2007.Google ScholarGoogle Scholar
  20. C. Perkins, E. Belding-Royer, and S. Das, "Ad hoc On-Demand Distance Vector (AODV) Routing RFC 3561," from http://www.rfc-archive.org/getrfc.php?rfc=3561. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. R. Draves, J. Padhye, and B. Zill, "Routing in multi-radio, multi-hop wireless mesh networks," MobiCom, pp. 114--128, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Y. Yang, J. Wang, and R. Kravets, "Designing routing metrics for mesh networks," Proceedings of the IEEE Workshop on Wireless Mesh Networks. 2005.Google ScholarGoogle Scholar
  23. L. Jijun, Z. Yan, H. Honglin, "Wireless Mesh Networking: Architectures, Protocols and Standards," First ed. Auerbach Publications, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. B. Anindya, O. Chih-Hao Luke, R. April, F. B. Shepherd, and W. Gordon, "Route oscillations in I-BGP with route reflection," in Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications Pittsburgh, Pennsylvania, USA: ACM, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. V. Elliott and K. J. Christensen, "Characterizing and reducing route oscillations in the Internet," Computer Communications, vol. 26, pp. 143--153, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. K. Varadhan, R. Govindan, and D. Estrin, "Persistent route oscillations in inter-domain routing," Computer Networks, vol. 32, pp. 1--16, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  27. "The Network Simulator - ns-2." fromhttp://www.isi.edu/nsnam/ns.Google ScholarGoogle Scholar
  28. The CMU Monarch Project, The CMU Wireless and Mobility Extensions to ns, fromhttp://www.monarch.cs.cmu.edu/.Google ScholarGoogle Scholar
  29. K. Xu, M. Gerla, and S. Bae, "How effective is the IEEE 802.11 RTS/CTS handshake in ad hoc networks," IEEE GLOBECOM '02. vol. 1, pp. 72--76, 2002.Google ScholarGoogle Scholar
  30. A. Yoneyama, Y. Takishima, and Y. Nakajima, "A Fast Frame-Accurate H. 264/MPEG-4 AVC Editing Method," IEEE ICME. pp. 1298--1301, 2005.Google ScholarGoogle Scholar

Index Terms

  1. On the performance of expected transmission count (ETX) for wireless mesh networks
        Index terms have been assigned to the content through auto-classification.

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image Guide Proceedings
          ValueTools '08: Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
          October 2008
          675 pages
          ISBN:9789639799318

          Publisher

          ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

          Brussels, Belgium

          Publication History

          • Published: 20 October 2008

          Qualifiers

          • research-article

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader