Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Medium Access Control with Dynamic Frame Length in Wireless Sensor Networks

  • Yoo, Dae-Suk (Dept. of Computer Engineering, University of Incheon) ;
  • Choi, Seung-Sik (Dept. of Computer Engineering, University of Incheon)
  • Received : 2010.03.16
  • Accepted : 2010.07.31
  • Published : 2010.12.31
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Abstract

Wireless sensor networks consist of sensor nodes which are expected to be battery-powered and are hard to replace or recharge. Thus, reducing the energy consumption of sensor nodes is an important design consideration in wireless sensor networks. For the implementation of an energy-efficient MAC protocol, a Sensor-MAC based on the IEEE 802.11 protocol, which has energy efficient scheduling, has been proposed. In this paper, we propose a Dynamic S-MAC that adapts dynamically to the network-traffic state. The dynamic S-MAC protocol improves the energy consumption of the S-MAC by changing the frame length according to the network-traffic state. Using an NS-2 Simulator, we compare the performance of the Dynamic S-MAC with that of the S-MAC protocol.

Keywords

References

  1. IEEE Standard 802.11, “Wireless LAN Medium Access Control(MAC) and Physical Layer(PHY) Specifications”, 1999.
  2. W. Ye, J. Heidemann, and D. Estrin, “An energy-efficient MAC protocol for wireless sensor networks”, In 21st Conference of the IEEE Computer and Communications Societies (INFOCOM), Vol.3, June, 2002, pp.1567-1576. https://doi.org/10.1109/INFCOM.2002.1019408
  3. T.van Dam And K.Langendoen, “An adaptive energy-efficient MAC protocol for wireless sensor networks”, in Proc.ACM Sensys 2003, November, 2003, pp.171-180.
  4. P. Havinga and G. Smit,”Energy-efficient TDMA medium access control protocol scheduling”,In Asian International Mobile Computing Conference (AMOC 2000), November, 2000, pp.1-9.
  5. S. Singh and C. Raghavendra, “PAMAS: Power aware multi-access protocol with signalling for ad hoc networks”, ACM SIGCOMM Computer.
  6. J. Hill and D.Culler.Mica, “A wireless platform for deeply embedded networks”, IEEE Micro, Vol.22, November, 2002, pp.12-24. https://doi.org/10.1109/MM.2002.1134340
  7. A.El-Hoiydi, “Aloha with preamble sampling for sporadic traffic in ad hoc wireless sensor networks”, in Proc. IEEE ICC 2002, Vol.5, April, 2002, pp.3418-3423.
  8. A.El-Hoiydi, J.-D. Decotignie, C.Enz and E.Le Roux, “Poster abstract : WiseMAC, an Ultra Low Power MAC Protocol for the WiseNET Wireless Sensor Network”, in Proc.ACM Sensys 003, November, 2003.
  9. The CMU Monarch Project, “The CMU Monarch Project's Wireless and Mobility Extensions to NS.”.

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