Self-organizing MAC Protocol Switching for Performance Adaptation in Wireless Sensor Networks

  • Fan Yu
  • Subir Biswas
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 192)


This paper presents a distributed MAC protocol switching mechanism for maximizing network throughput in the presence of traffic and topology heterogeneity. The key idea behind dynamic MAC switching is for each node to use its local topology and traffic density information to decide the most suitable MAC protocol that can maximize the MAC layer throughout in the neighborhood. A formal MAC switching rule is developed using analytical formulation of the MAC throughput available in the literature. NS2 based simulation experiments demonstrate that with the proposed MAC switching strategy, nodes in a mesh network are able to achieve maximum MAC throughput by adaptively choosing the appropriate MAC protocol in the presence of heterogeneity in terms of data rate and node population.


MAC Self Organization Protocol Switching 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Balakrishnan, H.: Opportunities and challenges in high-rate wireless sensor networking. In: 29th Annual IEEE International Conference on Local Computer Networks (November 2004)Google Scholar
  2. 2.
    Kleinrock, L., Tobagi, F.: Carrier Sense Multiple Access for Packet Switched Radio Channels. In: International Conference on Communications, Minneapolis, Minnesota, pp. 21B-1–21B-7 (June 1974)Google Scholar
  3. 3.
    Ye, W., Heidemann, J., Estrin, D.: An Energy-Efficient MAC Protocol for Wireless Sensor Networks. In: INFOCOM, pp. 1567–1576 (June 2002)Google Scholar
  4. 4.
    Dam, T., Langendoen, K.: An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks. In: 1st ACM International Conference on Embedded Networked Sensor Systems, pp. 171–180 (November 2003)Google Scholar
  5. 5.
    Chen, Z., Khokhar, A.: Self organization and Energy Efficient TDMA MAC Protocol by Wake up for Wireless Sensor Networks. In: 1st Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks 2004 (IEEE SECON 2004), pp. 335–341 ( October 2004)Google Scholar
  6. 6.
    Rajendran, V., Obraczka, K., Garcia-Luna-Aceves, J.J.: Energy-Efficient, Collision-Free Medium Access Control for Wireless Sensor Networks. In: International Conference on Embedded Networked Sensor Systems, pp. 181–192 (November 2003)Google Scholar
  7. 7.
    Rhee, I., Warrier, A., Min, J., Xu, L.: DRAND: Distributed Randomized TDMA Scheduling for Wireless Ad-hoc Networks. In: The 7th ACM International Symposium on Mobile Ad Hoc Networking and Computing, Florence, Italy, May 22-25 (2006)Google Scholar
  8. 8.
    Ahn, G.-S., Miluzzo, E., Campbell, A.T., Hong, S.G., Cuomo, F.: Funneling-MAC: A Localized, Sink-Oriented MAC For Boosting Fidelity in Sensor Networks. In: Fourth ACM Conference on Embedded Networked Sensor Systems (SenSys 2006), Boulder, Colorado, USA (November 2006)Google Scholar
  9. 9.
  10. 10.
    Sudarev, J.V., White, L.B., Perreau, S.: Performance Analysis of 802.11 CSMA/CA for Infrastructure Networks under Finite Load Conditions. In: The 14th IEEE Workshop on Local and Metropolitan Area Networks, 2005, LANMAN 2005 (September 2005)Google Scholar
  11. 11.
    Chung, M.Y., Jung, M.-H., Lee, T.-J., Lee, Y.: Performance Analysis of HomePlug 1.0 MAC With CSMA/CA. IEEE Journal on Selected Areas in Communications 24, 1411–1420 (2006)CrossRefGoogle Scholar
  12. 12.
    Lee, W., Wang, C., Sohraby, K.: On Use of Traditional M/G/1 Model for IEEE 802.11 DCF in Unsaturated Traffic Conditions. In: IEEE Wireless Communications and Networking Conference (WCNC 2006), Las Vegas, Nevada, pp. 1933–1937 (April 2006)Google Scholar
  13. 13.
    Barowski, Y., Biaz, S.: The Performance Analysis of IEEE 802.11 Under Unsaturated Traffic Conditions (August 2004),
  14. 14.
    Bianchi, G.: Performance Analysis of the IEEE 802.11 Distributed Coordination Function. IEEE Journal on Selected Areas in Communications 18, 535–547 (2000)CrossRefGoogle Scholar
  15. 15.
    Tickoo, O., Sikdar, B.: A queueing model for finite load IEEE 802.11 random access MAC. In: IEEE International Conference of Communication (ICC), pp. 175–179 (2004)Google Scholar
  16. 16.
    The network simulator: NS-2,
  17. 17.
    Yu, F., Wu, T., Biswas, S.: Towards In-Band Self-Organization in Energy-Efficient MAC Protocols for Sensor Networks. IEEE Transaction of Mobile Computing (accepted) (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Fan Yu
    • 1
  • Subir Biswas
    • 1
  1. 1.Electrical and Computer EngineeringMichigan State UniversityEast LansingUSA

Personalised recommendations