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An Energy-Efficient MAC Protocol for Mobile Wireless Sensor Network Based on IR-UWB

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 737))

Abstract

Mobile Wireless Sensor Network (MWSN) owes its name to the presence of mobile sensor nodes within the network. It has recently launched a growing popular class of WSN in which mobility becomes an important area of research for the WSN community. In this type of network the energy efficiency is the key design challenge. For this reason MAC layer protocols for MWSN based on IR-UWB must be energy efficient to exploit the main features of IR-UWB technology implemented in the physical layer and maximize lifetime. In this paper we present and show the good impact in term of energy consumption for an energy-efficient MAC protocol in MWSN based on IR-UWB. This MAC protocol takes advantage of these two key properties by using asynchronous periodic beacon transmissions from each network node and its duty-cycling mode.

We developed our own class MWideMacLayer under MiXiM platform on OMNet++ platform to test and evaluate the performance of WideMac protocol compared to ALOHA and Slotted ALOHA.

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References

  1. Sung, W., Wu, T.-T., Yang, C.-S., Huang, Y.-M.: Reliable data broadcast for Zigbee wireless sensor networks. Int. J. Smart Sensing Intell. Syst. 3(3) (2010)

    Google Scholar 

  2. Jang, W.S., Healy, W.M.: Assessment of performance metrics for use of WSNs in buildings. In: International Symposium on Automation and Robotic in Construction (ISARC 2009), 27–29 June 2009, pp. 570–575 (2009)

    Google Scholar 

  3. Mouftah, H.T., Khanafer, M., Guennoun, M.: Wireless sensor network architectures for intelligent vehicular systems. In: Symposium International for Telecommunication Techniques (2010)

    Google Scholar 

  4. Suh, C., Mir, Z.H., Ko, Y.-B.: Design and implementation of enhanced IEEE 802.15.4 for supporting multimedia service in wireless sensor networks. Int. J. Comput. Telecommun. Netw. 52(13), 2568–2581 (2008)

    Article  Google Scholar 

  5. Golmie, N., Cypher, D., Rebala, O.: Performance analysis of low rate wireless technologies for medical applications. J. Comput. Commun. 28(10), 1266–1275 (2005). ISSN 0140-3664

    Article  Google Scholar 

  6. Zhoul, H., Chen, X., Liu, X., Yang, J.: Applications of Zigbee wireless technology tomeasurement system in grain storage. In: Computer and Computing Technologies in Agriculture II. IFIP International Federation for Information Processing, vol. 3, pp. 2021–2029 (2009). https://doi.org/10.1007/978-1-4419-0213-952

  7. Willig, A.: Recent and emerging topics in wireless industrial communication. IEEE Trans. Industr. Inf. 4(2), 102–124 (2008)

    Article  Google Scholar 

  8. Lecointre, A., Berthe, A., Dragomirescu, D., Plana, R.: Performance evaluation of impluse radio ultra wide band wireless sensor networks. In: Proceedings of the 28th IEEE Conference on Military Communications, MILCOM 2009, pp. 1191–1197 (2009)

    Google Scholar 

  9. Amundson, I., Koutsoukos, X., Sallai, J.: Mobile sensor localization and navigation using RF doppler shifts. In: 1st ACM International Workshop on Mobile Entity Localization and Tracking in GPS-Less Environments, MELT 2008 (2008)

    Google Scholar 

  10. Fang, L., Antsaklis, P.J., Montestruque, L., Mcmickell, M.B., Lemmon, M., Sun, Y., Fang, H., Koutroulis, I., Haenggi, M., Xie, M., Xie, X.: Design of a wireless assisted pedestrian dead reckoning system – the NavMote experience. IEEE Trans. Instrum. Meas. 54(6), 2342–2358 (2005)

    Article  Google Scholar 

  11. Juang, P., Oki, H., Wang, Y., Martonosi, M., Peh, L., Rubenstein, D.: Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet. In: Proceedings of ASPLOS-X (2002)

    Google Scholar 

  12. Kusy, B., Ledeczi, A., Koutsoukos, X.: Tracking mobile nodes using RF doppler shifts. In: Proceedings of the 5th International Conference on Embedded Networked Sensor Systems, SenSys 2007, pp. 29–42. ACM, New York (2007)

    Google Scholar 

  13. Dutta, P., Grimmer, M., Arora, A., Bibyk, S., Culler, D.: Design of a wireless sensor network platform for detecting rare, random, and ephemeral events. In: Proceedings of IPSN/SPOTS, April 2005

    Google Scholar 

  14. Polastre, J., Szewczyk, R., Culler, D.: Telos: enabling ultra-low power wireless research. In: Proceedings of IPSN/SPOTS, April 2005

    Google Scholar 

  15. Dantu, K., Rahimi, M., Shah, H., Babel, S., Dhariwal, A., Sukhatme, G.S.: Robomote: enabling mobility in sensor networks. In: The Fourth International Symposium on Information Processing in Sensor Networks, IPSN 2005 (2005)

    Google Scholar 

  16. Friedman, J., Lee, D.C., Tsigkogiannis, I., Wong, S., Chao, D., Levin, D., Kaisera, W.J., Srivastava, M.B.: Ragobot: a new platform for wireless mobile sensor networks. In: International Conference on Distributed Computing in Sensor Systems, DCOSS 2005 (2005)

    Google Scholar 

  17. Bergbreiter, S., Pister, K.S.J.: CotsBots: an off-the-shelf platform for distributed robotics. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2003 (2003)

    Google Scholar 

  18. Shah, R., Roy, S., Jain, S., Brunette, W.: Data mules: modeling a three-tier architecture for sparse sensor networks. In: Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications (2003)

    Google Scholar 

  19. Wang, G., Cao, G., Porta, T., Zhang, W.: Sensor relocation in mobile sensor networks. In: IEEE INFOCOM 2005 (2005)

    Google Scholar 

  20. Lazaro, A., Girbau, D., Villarino, R.: Analysis of vital signs monitoring using an IR-UWB radar. Prog. Electromagnet. Res. 100, 265–284 (2010)

    Article  Google Scholar 

  21. Adsul, A.P., Bodhe, S.K.: Performance comparison of BPSK, PPM and PPV modulation based IR-UWB receiver using wide band LNA. Int. J. Comput. Technol. Appl. 3(4), 1532–1537 (2012)

    Google Scholar 

  22. Piguet, D., Decotignie, J.-D., Rousselot, J.: A MAC protocol for micro flying robots coordination. European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no 231855 (sFly)

    Google Scholar 

  23. Rousselot, J., El-Hoiydi, A., Decotignie, J.-D.: WideMac: simple and efficient medium access for UWB sensor networks. In: IEEE International Conference on Ultra-Wideband (2008)

    Google Scholar 

  24. Sun, Y., Gurewitz, O., Johnson, D.B.: RI-MAC: a receiver- initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks. In: Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems, SenSys 2008, pp. 1–14. ACM, New York (2008)

    Google Scholar 

  25. Köpke, A., Swigulski, M., Wessel, K., Willkomm, D., Klein Haneveld, P.T., Parker, T.E.V., Visser, O.W., Lichte, H.S., Valentin, S.: Simulating wireless and mobile networks in OMNeT++ the MiXiM vision. In: Proceedings of International Workshop on OMNeT++ (co-located with SIMUTools 2008), March 2008

    Google Scholar 

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Correspondence to Anouar Darif .

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Darif, A., Hasna, C., Saadane, R. (2018). An Energy-Efficient MAC Protocol for Mobile Wireless Sensor Network Based on IR-UWB. In: Abraham, A., Haqiq, A., Muda, A., Gandhi, N. (eds) Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017). SoCPaR 2017. Advances in Intelligent Systems and Computing, vol 737. Springer, Cham. https://doi.org/10.1007/978-3-319-76357-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-76357-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76356-9

  • Online ISBN: 978-3-319-76357-6

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