Adaptive time division multiple access-based medium access control protocol for energy conserving and data transmission in wireless sensor networks

Adaptive time division multiple access-based medium access control protocol for energy conserving and data transmission in wireless sensor networks

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Traditional time division multiple access (TDMA)-based medium access control (MAC) protocols for wireless sensor networks (WSNs), for example, low-energy adaptive clustering hierarchy (LEACH), allocate one time slot for each node within a cluster. For nodes that have no data to send, the radio module is still active. Such approaches drain the precious battery energy. In this study, the authors propose a novel TDMA-based MAC protocol to conserve energy and increase data transmission efficiency of sensors in a cluster-based WSN. In the proposed scheme, nodes that have no data to send can go into sleep mode for energy conserving. On the other hands, nodes that have more data to send can ask the cluster head to allocate more time slots for data transmission. Experiments show that the proposed MAC protocol can have better performance than traditional TDMA-based MAC protocols.


    1. 1)
    2. 2)
      • Mainwaring, A., Culler, D., Polastre, J., Szewczyk, R., Anderson, J.: `Wireless sensor networks for habitat monitoring', First ACM Int. Workshop on Wireless Sensor Networks and Applications, WSNA’02, 2002, p. 88–97.
    3. 3)
      • L. Doherty , B.A. Warneke , B.E. Boser , K.S.J. Pister . Energy and performance considerations for smart dust. Int. J. Parallel Distrib. Syst. Netw. , 3 , 121 - 133
    4. 4)
      • M. Stemm , R. Katz . Measuring and reducing energy consumption of network interfaces in hand-held devices. IEICE Trans. Commun. , 8 , 1125 - 1131
    5. 5)
    6. 6)
      • Intanagonwiwat, C., Govindan, R., Estrin, D.: `Directed diffusion: a scalable and robust communication paradigm for sensor networks', Sixth Annual Int. Conf. on Mobile Computing and Networking, MobiCom’00, 2000, p. 56–67.
    7. 7)
      • Ye, W., Heidemann, J., Estrin, D.: `An energy-efficient mac protocol for wireless sensor networks', IEEE Infocom 2002, June 2002, 3, p. 1567–1576.
    8. 8)
      • Ramanathan, N., Yarvis, M., Chhabra, J., Kushalnagar, N., Krishnamurthy, L., Estrin, D.: `A stream-oriented power management protocol for low duty cycle sensor network applications', IEEE Workshop on Embedded Networked Sensors, May 2005, p. 53–62.
    9. 9)
      • Ye, W., Silva, F., Heidemann, J.: `Ultra-low duty cycle mac with scheduled channel polling', Fourth ACM Conf. on Embedded Networked Sensor Systems (ACM Sensys’06), November 2006, Boulder, CO, p. 321–334.
    10. 10)
      • van Dam, T., Langendoen, K.: `An adaptive energy efficient mac protocol for wireless sensor networks', First ACM Conf. on Embedded Networked Sensor Systems (SenSys), November 2003, p. 171–180.
    11. 11)
      • Yang, S.-H., Tseng, H.-W., Wu, E.H.-K., Chen, G.-H.: `Utilization based duty cycle tuning mac protocol for wireless sensor networks', GLOBECOM 2005, November 2005, 6, p. 3258–3262.
    12. 12)
      • Chandrakasan, A., Rabiner Heinzelman, W., Balakrishnan, H.: `Energy-efficient communication protocols for wireless microsensor networks', 33rdHawaii Int. Conf. on Systems Sciences, January 2000, 2, p. 3005–3014.
    13. 13)
      • Li, J., Lazarou, G.Y.: `A bit-map-assisted energy-efficient mac scheme for wireless sensor networks', Third Int. Symp. on Information Processing in Sensor Networks, IPSN’04, 2004, p. 55–60.
    14. 14)
      • Polastre, J., Hill, J., Culler, D.: `Versatile low power media access for wireless sensor networks', Second ACM Conf. on Embedded Networked Sensor Systems (SenSys), November 2004, p. 95–107.
    15. 15)
    16. 16)
      • Buettner, M., Yee, G., Anderson, E., Han, R.: `X-MAC: a short preamble mac protocol for duty-cycled wireless networks', Technical Report CU-CS-1008-06, 2006.
    17. 17)
      • El-Hoiydi, A.: `Aloha with preamble sampling for sporadic traffic in ad hoc wireless sensor networks', IEEE Int. Conf. on Communications, April 2002, p. 3418–3423.
    18. 18)
    19. 19)
      • Y.-S. Chen , Y.-W. Lin . C-mac: an energy-efficient mac scheme using Chinese-remainder-theorem for wireless sensor networks. J. Inf. Sci. Eng. , 4 , 1057 - 1071
    20. 20)
      • Shanti, C., Sahoo, A.: `Dgram: a delay guaranteed routing and mac protocol for wireless sensor networks', World of Wireless, Mobile and Multimedia Networks, WoWMoM 2008, June 2008, p. 1–9.
    21. 21)
      • Gong, H., Liu, M., Yu, L., Wang, X.: `An event driven tdma protocol for wireless sensor networks', Communications and Mobile Computing, 2009, CMC’09, January 2009, 2, p. 132–136.
    22. 22)
    23. 23)
      • Wu, D., Wang, G.-Y., Li, X.-L.: `Distributed tdma scheduling protocol based on conflict-free for wireless sensor networks', Intelligent Computing and Integrated Systems (ICISS), October 2010, p. 876–879.
    24. 24)
      • Zhao, W., Tang, X.: `Scheduling data collection with dynamic traffic patterns in wireless sensor networks', IEEE INFOCOM 2011, April 2011, p. 286–290.
    25. 25)
    26. 26)
      • Li, J., Lazarou, G.Y.: `Modeling the energy consumption of mac schemes in wireless cluster-based sensor networks', 15thIASTED Int. Conf. on Modeling and Simulation, 2004, p. 313–318.

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