Performance Study of a New MAC Algorithm to Reduce Energy and Delay in Wireless Sensor Networks

  • Ioannis Gragopoulos
  • Ioannis Tsetsinas
  • Eirini Karapistoli
  • Fotini-Niovi Paulidou


In this paper we focus on the problems of high latency and low throughput arising from the periodic operation of MAC protocols for wireless sensor networks. In order to meet both design criteria we propose an energy-efficient, low-delay, fast-periodic MAC algorithm based on the IEEE 802.15.4 physical layer. Our proposal relies on the short periodic communication operation of the nodes comprising the WSN. This is achieved by decreasing the actions that a node needs to perform at the beginning of every communication period and by incorporating a variable radio-on operation. Moreover, the algorithm introduces differences in nodes’ scheduling to further reduce delay. The proposed MAC is evaluated and compared to S-MAC and T-MAC through extensive simulations, showing a significant improvement in terms of low energy consumption and average MAC delay


Wireless Sensor Networks MAC protocol energy efficiency 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: a survey,” Computer Networks, vol. 38, no. 4, pp. 393–422, Mar. 2002.CrossRefGoogle Scholar
  2. 2.
    F. Bennett, D. Clarke, J. B. Evans, A. Hopper, A. Jones, and D. Leask, “Piconet: Embedded mobile networking,” IEEE Personal Communications Magazine, vol. 4, no. 5, pp. 8–15, Oct. 1997.CrossRefGoogle Scholar
  3. 3.
    W. Ye, J. Heidemann, and D. Estrin, “An energy-efficient mac protocol for wireless sensor networks,” in Proceedings of the 21st International Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2002), vol. 3, New York, NY, USA, June 2002, pp. 1567–1576.Google Scholar
  4. 4.
    W. Ye, J. Heidemann, and D. Estrin, “Medium access control with coordinated, adaptive sleeping for wireless sensor networks,” IEEE/ACM Transactions on Networking, vol. 12, no. 3, pp. 493–506, June 2004.CrossRefGoogle Scholar
  5. 5.
    T. V. Dam and K. Langendoen, “An adaptive energy-efficient MAC protocol for wireless sensor networks,” in The 1st ACM Conference on Embedded Networked Sensor Systems (Sensys‘03), Los Angeles, USA, Nov. 2003, pp. 171–180.Google Scholar
  6. 6.
    G. Lu, B. Krishnamachari, and C. S. Raghavendra, “An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks,” in Proceedings of 18th International Parallel and Distributed Processing Symposium, Apr. 2004.Google Scholar
  7. 7.
    A. Sridharan and B. Krishnamachari, “Max-min fair collision-free scheduling for wireless sensor networks,” in IEEE International Conference on Performance, Computing, and Communications, 2004, pp. 585–590.Google Scholar
  8. 8.
    “Chipcon AS SmartRF© CC2420, Preliminary datasheet (rev. 1.2),” June 2004.Google Scholar
  9. 9.
    “IEEE std 802.15.4TM -2003: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks.”Google Scholar

Copyright information

© Springer 2007

Authors and Affiliations

  • Ioannis Gragopoulos
    • 1
  • Ioannis Tsetsinas
    • 1
  • Eirini Karapistoli
    • 2
  • Fotini-Niovi Paulidou
    • 2
  1. 1.Informatics and Telematics InstituteThessalonikiGreece
  2. 2.Department of Electrical and Computer EngineeringAristotle University of ThessalonikiThessalonikiGreece

Personalised recommendations