Table of Contents Author Guidelines Submit a Manuscript
Mobile Information Systems
Volume 2016, Article ID 9696348, 16 pages
http://dx.doi.org/10.1155/2016/9696348
Research Article

Context-Based Topology Control for Wireless Mesh Networks

University of Zululand, Richards Bay, South Africa

Received 26 May 2016; Revised 9 September 2016; Accepted 21 September 2016

Academic Editor: Juan A. Gomez-Pulido

Copyright © 2016 Pragasen Mudali and Matthew Olusegun Adigun. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. W. Allen, A. Martin, and A. Rangarajan, “Designing and deploying a rural ad-hoc community mesh network testbed,” in Proceedings of the IEEE Conference on Local Computer Networks, pp. 740–743, November 2005. View at Publisher · View at Google Scholar · View at Scopus
  2. H. Lundgren, K. Ramachandran, E. Belding-Royer et al., “Experiences from the design, deployment, and usage of the UCSB meshnet testbed,” IEEE Wireless Communications, vol. 13, no. 2, pp. 18–29, 2006. View at Publisher · View at Google Scholar · View at Scopus
  3. J. Camp, J. Robinson, C. Steger, and E. Knightly, “Measurement driven deployment of a two-tier urban mesh access network,” in Proceedings of the 4th International Conference on Mobile Systems, Applications and Services, pp. 96–109, June 2006. View at Scopus
  4. P. Santi, Topology Control in Wireless Ad Hoc and Sensor Networks, John Wiley & Sons, Chichester, UK, 2005.
  5. F. O. Aron, T. O. Olwal, A. Kurien, and M. O. Odhiambo, “Energy efficient topology control algorithm for wireless mesh networks,” in Proceedings of the International Wireless Communications and Mobile Computing Conference (IWCMC '08), pp. 135–140, August 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. N. Li and J. C. Hou, “Localized fault-tolerant topology control in wireless ad hoc networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 17, no. 4, pp. 307–320, 2006. View at Publisher · View at Google Scholar · View at Scopus
  7. K.-D. Wu and W. Liao, “Interference-efficient topology control in wireless ad hoc networks,” in Proceedings of the 3rd IEEE Consumer Communications and Networking Conference (CCNC '06), pp. 411–415, January 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. L. Li, J. Y. Halpern, P. Bahl, Y.-M. Wang, and R. Wattenhofer, “A cone-based distributed topology-control algorithm for wireless multi-hop networks,” IEEE/ACM Transactions on Networking, vol. 13, no. 1, pp. 147–159, 2005. View at Publisher · View at Google Scholar · View at Scopus
  9. V. Kawadia and P. R. Kumar, “Principles and protocols for power control in wireless ad hoc networks,” IEEE Journal on Selected Areas in Communications, vol. 23, no. 1, pp. 76–88, 2005. View at Publisher · View at Google Scholar · View at Scopus
  10. A. Cerpa and D. Estrin, “ASCENT: adaptive self-configuring sensor networks topologies,” IEEE Transactions on Mobile Computing, vol. 3, no. 3, pp. 272–285, 2004. View at Publisher · View at Google Scholar · View at Scopus
  11. P. Valera, P. Lee, Y. Wong, W. Seah, H. Tan, and H. Ju, “An experimental study on connectivity and topology control in real multi-hop networks,” in Proceedings of the 4th International Wireless Internet Conference (WICON '08), Maui, Hawaii, USA, November 2008.
  12. I. F. Akyildiz and X. Wang, Wireless Mesh Networks, John Wiley & Sons, Chichester, UK, 2009.
  13. X. Wang and A. O. Lim, “IEEE 802.11s wireless mesh networks: framework and challenges,” Ad Hoc Networks, vol. 6, no. 6, pp. 970–984, 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. P. Mudali, T. C. Nyandeni, N. Ntlatlapa, and M. O. Adigun, “Design and implementation of a Topology Control scheme for Wireless Mesh Networks,” in Proceedings of the IEEE Africon, September 2009. View at Publisher · View at Google Scholar · View at Scopus
  15. P. Mudali, T. C. Nyandeni, N. Ntlatlapa, and M. O. Adigun, “A test-bed evaluation of connectivity strategies for infrastructure wireless mesh networks,” in Proceedings of the Southern African Telecommunications and Network Applications Conference (SATNAC '10), 2010, http://www.satnac.org.za/proceedings/2010/engineering.htm.
  16. I. F. Akyildiz and X. Wang, “A survey on wireless mesh networks,” IEEE Communications Magazine, vol. 43, no. 9, pp. S23–S30, 2005. View at Publisher · View at Google Scholar · View at Scopus
  17. K. Kowalik, M. Bykowski, B. Keegan, and M. Davis, “An evaluation of a conservative transmit power control mechanism on an indoor 802.11 wire-less mesh testbed,” in Proceedings of the International Conference on Wireless Information Networks and Systems (WINSYS '08), July 2008. View at Scopus
  18. K. Ramachandran, I. Sheriff, E. Belding, and K. Almeroth, Passive and Active Network Measurement: 6th International Workshop, PAM 2005, Boston, MA, USA, March 31–April 1, 2005. Proceedings, vol. 3431 of Lecture Notes in Computer Science, Springer, Berlin, Germany, 2005. View at Publisher · View at Google Scholar
  19. M. Boushaba, A. Hafid, and M. Gendreau, “Local node stability-based routing for wireless mesh networks,” in Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC '13), pp. 1950–1955, Shanghai, China, April 2013. View at Publisher · View at Google Scholar · View at Scopus
  20. I. T. Jolliffe, Principal Component Analysis, Springer Series in Statistics, Springer, New York, NY, USA, 2nd edition, 2002. View at MathSciNet
  21. S. Lê, J. Josse, and F. Husson, “FactoMineR: an R package for multivariate analysis,” Journal of Statistical Software, vol. 25, no. 1, pp. 1–18, 2008. View at Google Scholar · View at Scopus
  22. Tools for high-throughput data analysis, S. S., Principal component analysis: How to reveal the most important variables in your data? -r software and data mining, World Wide Web, 2015, http://www.sthda.com/english/wiki/principal-component-analysis-how-to-reveal-the-most-important-variables-in-your-data-r-software-and-data-mining.
  23. S. Dobson, S. Denazis, A. Fernández et al., “A survey of autonomic communications,” ACM Transactions on Autonomous and Adaptive Systems, vol. 1, no. 2, pp. 223–259, 2006. View at Publisher · View at Google Scholar · View at Scopus
  24. F. Fainelli, “The openwrt embedded development framework,” Tech. Rep., 2008, http://downloads.openwrt.org/people/florian/fosdem/fosdem.pdf. View at Google Scholar