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Experimental Analysis of AODV, DSR and DSDV Protocols Based on Wireless Body Area Network

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Internet of Things

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 312))

Abstract

Recently, more and more sensor network research is carried out in the area of remote and mobile health systems (mHealth) or Telemedicine applications. In these applications the sensors are centered in or on the proximity of the human body thereby forming a network called Wireless Body Area Network (WBAN) that is uniquely important for consideration. Hot problems currently researched in this network include reliability and energy efficiency of routing protocols.  In this paper we present the analysis of three prominent routing protocols AODV, DSR and DSDV, based on the key characteristics of the WBAN using IEEE 802.15.4 MAC Protocol. In our experiments, packet delivery ratio and average end-end delay were used as the measure for the communication reliability and energy savings efficiency, while considering the mobility of the nodes, network communication range and the number of nodes. Based on the experimental analysis, both AODV and DSR protocols have good reliability, while DSDV performed very poorly with over 90 percent packet losses largely due to its high routing table overhead. Furthermore, in energy savings efficiency, DSR and AODV had similar performance while DSDV performed a little poorer.

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References

  1. Bilstrup, K.: Preliminary Study of Wireless Body Area Networks. Technical Report IDE0854 (August 2008)

    Google Scholar 

  2. Amjad, K., Stocker, A.J.: Impact of slow and fast channel fading and mobility on the performance of AODV in ad-hoc networks. Dept. of Eng., Univ. of Leicester, Leicester, UK (November 2010)

    Google Scholar 

  3. Latre, B., Brean, B., Moerman, I., Blondia, C.: A survey on Wireless Body Area Networks. Journal of Wireless Networks 17(1), 1–12 (2011)

    Article  Google Scholar 

  4. Ullah, S., Higgins, H., Braem, B., et al.: A Comprehensive Survey of Wireless Body Area Networks on PHY, MAC and Network Layers Solutions. Springer Science + Business Media, LLC (2010)

    Google Scholar 

  5. Sayranfin-Pour, K., Yang, W.-B., Hagedorn, J., Terrill, J., Yazdandoost, K.Y.: A statistical path Loss model for medical implant communication channels. In: The Proc. of 2009 IEEE 20th International Symposium on Indoor and Mobile Radio Communications, pp. 2995–2999 (2009)

    Google Scholar 

  6. IEEE std 802.15.4.: Wireless medium access control (MAC) and physical layer (PHY) specifications for low data rate wireless personal area networks (WPAN). IEEE, Piscataway (2006)

    Google Scholar 

  7. Timmons, N.F., Scanlon, W.G.: Analysis of the performance of IEEE802.15.4 for medical sensor body area networking. In: The Proc. of the First Annual IEEE Communication Society Conference on Sensor and Ad Hoc Communications and Networks (IEEE SECON 2004), pp. 16–24 (2004)

    Google Scholar 

  8. Tang, Q., Tummala, N., Gupta, S.K.S., Schweiebert, L.: Communication scheduling to Minimize thermal effects of implanted biosensor networks in homogenous tissue. IEEE Transactions on Biomedical Engineering 52(7), 1285–1294 (2005)

    Article  Google Scholar 

  9. Ullah, S., et al.: A Comprehensive Survey of Wireless Body Area Networks on PHY, MAC, and Network Layers Solutions. J. Med. Syst. (July 25, 2010), doi:10.1007/s10916-010-9571-3

    Google Scholar 

  10. Otto, C., Milenkovic, A., Sanders, C., Jovanov, E.: System architecture of a wireless body area sensor network for ubiquitous health monitoring. Journal of Mobile Multimedia 1(4), 307–326 (2006)

    Google Scholar 

  11. Rui, P.J., Foster, K.R.: Heating of tissue by near-field exposure to a dipole: a model analysis. IEEE Trans. Biomed. Eng. 46(8), 911–917 (1999)

    Article  Google Scholar 

  12. Latre, B., et al.: A Low-delay Protocol for Multihop Wireless Body Area Networks. Ghent University–IBBT-IMEC-Dept. of Information Tchnology-IBCN

    Google Scholar 

  13. Kwak, K.S., Ameen, M.A., Kwak, D., Lee, C., Lee, H.: A study of the Proposed IEEE802.15 WBAN MAC Protocols. In: ISCIT 2009, Inha University, Telecommunication Research Institute (ETRI), Korea (2009)

    Google Scholar 

  14. Gowrishankar, S., Basavaraju, T.G., SubirKumarSarkar: Simulation Based Analysis of Mobile Sink Speed in Wireless Sensor Networks. In: Proceedings of the World Congress on Engineering and Computer Science 2010, vol. 1 (2010)

    Google Scholar 

  15. Parc, X., Fall, K., Varadhan, K.: The VINT Project, U.C. Berkeley, LBL, USC/ISI, The ns Manual (formerly ns Notes and Documentation)1 (January 2009)

    Google Scholar 

  16. Information Sciences Institute, The Network Simulator NS-2, http://www.isi.edu/nsnam/ns/

  17. Zheng, J., Lee, M.J.: A Comprehensive Performance Study of IEEE 802.15.4. In: Sensor Network Operations, ch. 4, pp. 218–237. IEEE press, Wiley Inter Science (2006)

    Google Scholar 

  18. Zheng, J., Lee, M.J.: Will IEEE 802.15.4 Make Ubiquitous Networking a Reality? A Discussion on a Potential Low Power, Low Bit Rate Standard. IEEE Communication Magazine, 140–146 (June 2004)

    Google Scholar 

  19. Campbell, C.E.-A., Loo, K.-K., Kurdi, H.A., Khan, S.: Comparison of IEEE 802.11 and IEEE 802.15.4 for Future Green Multichannel Multi-radio Wireless Sensor Networks. International Journal of Communication Networks and Information Security (IJCNIS) 3(1), 96–103 (2011)

    Google Scholar 

  20. Jonanov, E., et al.: A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation. Journal of NeuroEngineering and Rehabilitation (March 2005)

    Google Scholar 

  21. Taneja, S., Kush, A., Makkar, A.: Experimental Analysis of DSR,AODV using Speed and Pause time. International Journal of Innovation, Management and Technology 1(5), 453–458 (2010)

    Google Scholar 

  22. Perkins, C.E., Bhagwat, P.: Highly dynamic destination-sequenced distance vector routing (DSDV) for mobile computers. In: Proc. ACM SIGCOMM 1994, London, UK, pp. 234–244 (October 1994)

    Google Scholar 

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Asogwa, C.O., Zhang, X., Xiao, D., Hamed, A. (2012). Experimental Analysis of AODV, DSR and DSDV Protocols Based on Wireless Body Area Network. In: Wang, Y., Zhang, X. (eds) Internet of Things. Communications in Computer and Information Science, vol 312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32427-7_25

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  • DOI: https://doi.org/10.1007/978-3-642-32427-7_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32426-0

  • Online ISBN: 978-3-642-32427-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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