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access icon openaccess Improving the energy efficiency for the WBSN bottleneck zone based on random linear network coding

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 08/05/2017, Accepted 02/10/2017, Revised 05/09/2017, Published 04/10/2017

The reduction of energy consumption and the successful delivery of data are important for a wireless body sensor network (WBSN). Many studies have been performed to improve energy efficiency, but most of them have not focused on the biosensor nodes in the WBSN bottleneck zone. Energy consumption is a critical issue in WBSNs, as the nodes that are placed next to the sink node consume more energy. All biomedical packets are aggregated through these nodes forming a bottleneck zone. This study proposes a novel mathematical model for body area network topology to explain the deployment and connection between biosensor nodes, simple relay nodes, network coding (NC) relay nodes and the sink node. Therefore, this study is dedicated to research both the energy saving and delivery of data if there is a failure in one of the links of the transmission, which relates to the proposed random linear NC model in the WBSN. Using a novel mathematical model for the WBSN, it is apparent that energy consumption is reduced and data delivery achieved with the proposed mechanism. This study details the stages of the research work.

Inspec keywords: biosensors; energy conservation; random codes; body area networks; telecommunication network topology; linear codes; mathematical analysis; relay networks (telecommunication); network coding; telecommunication network reliability; body sensor networks

Other keywords: biomedical packet aggregation; data delivery; wireless body sensor network; relay node; mathematical model; energy consumption; random linear network coding; biosensor node; body area network topology; energy efficiency; WBSN; NC

Subjects: Radio links and equipment; Biosensors; Biomedical communication; Wireless sensor networks; Mathematical analysis; Reliability; Communication network design, planning and routing; Codes

References

    1. 1)
      • 23. Bondy, J.A., Murtty, U.S.R.: ‘Graph theory with applications’ (Macmillan Press Ltd, 1976).
    2. 2)
      • 17. Begonya, O., Alonso, L., Verikoukis, C.: ‘Highly reliable energy-saving MAC for wireless body sensor networks in healthcare systems’, IEEE J. Sel. Areas Commun., 2009, 27, (4), pp. 553–565.
    3. 3)
      • 25. Pfletschinger, S., Navarro, M., Ibars, C.: ‘Energy-efficient data collection in WSN with network coding’. 2011 IEEE GLOBECOM Workshops (GC Workshops), USA, December 2011, pp. 394–398.
    4. 4)
      • 1. Iftikhar, M., Al Elaiwi, N., Aksoy, M.S.: ‘Performance analysis of priority queuing model for low power wireless body area networks (WBANs)’, Procedia Comput. Sci., 2014, 34, pp. 518–525.
    5. 5)
      • 13. Dharshini, P.M.P., Tamilarasi, M.: ‘Adaptive reliable cooperative data transmission technique for wireless body area network’. Proc. Int. Conf. Information Communication and Embedd Systems (ICICES 2014), India, February 2014, pp. 4–7.
    6. 6)
      • 12. Miliotis, V, Alonso, L., Verikoukis, C.: ‘CooPNC: a cooperative multicast protocol exploiting physical layer network coding’, Ad Hoc Netw., 2014, 14, pp. 35–50.
    7. 7)
      • 16. Ehyaie, A., Hashemi, M., Khadivi, P.: ‘Using relay network to increase life time in wireless body area sensor networks’. IEEE Int. Symp. on a World of Wireless, Mobile and Multimedia Networks, June 2009, pp. 1–6.
    8. 8)
      • 24. Alshaheen, H., Takruri Rizk, H.: ‘Improving the energy efficiency for biosensor nodes in the WBSN bottleneck zone based on a random linear network coding’. Proc. 11th Int. Symp. Medical Information and Communication Technologies, Portugal, February 2017, pp. 59–63.
    9. 9)
      • 3. Li, S.Y.R., Yeung, R.W., Cai, N.: ‘Linear network coding’, IEEE Trans. Inf. Theory, 2003, 49, (2), pp. 371–381.
    10. 10)
      • 26. Reusens, E., Joseph, W., Latre, B., et al: ‘Characterization of on-body communication channel and energy efficient topology design for wireless body area networks’, IEEE Trans. Inf. Technol. Biomed., 2009, 13, (6), pp. 933–945.
    11. 11)
      • 11. Yousaf, S., Javaid, N., Qasim, U., et al: ‘Towards reliable and energy-efficient incremental cooperative communication for wireless body area networks’, Sensors, 2016, 16, (3), p. 284.
    12. 12)
      • 4. Shahidan, A.A., Fisal, N., Ismail, N.N., et al: ‘Data recovery in wireless sensor networks using network coding’, J. Teknol., 2015, 73, (3), pp. 69–73.
    13. 13)
      • 6. Platz, D., Woldegebreal, D.H., Karl, H.: ‘Random network coding in wireless sensor networks: energy efficiency via cross-layer approach’. 2008 IEEE 10th Int. Symp. Spread Spectrum Techniques and Applications, Italy, August 2008, pp. 654–660.
    14. 14)
      • 22. Fort, A., Ryckaert, J., Desset, C., et al: ‘Ultra-wideband channel model for communication around the human body’, IEEE J. Sel. Areas Commun., 2006, 24, (4), pp. 927–933.
    15. 15)
      • 19. Braem, B., Latré, B., Moerman, I., et al: ‘The need for cooperation and relaying in short-range high path loss sensor networks’. Proc. 2007 Int. Conf. Sensor Technologies and Applications (SENSORCOMM 2007), Spain, October 2007, pp. 566–571.
    16. 16)
      • 2. Ahlswede, R., Cai, N., Li, S.-Y.R., et al: ‘Network information flow’, IEEE Trans. Inf. Theory, 2000, 46, (4), pp. 1204–1216.
    17. 17)
      • 5. Magli, E., Wang, M., Frossard, P., et al: ‘Network coding meets multimedia: a review’, IEEE Trans. Multimed., 2013, 15, (5), pp. 1195–1212.
    18. 18)
      • 14. Arrobo, G.E., Gitlin, R.D.: ‘Improving the reliability of wireless body area networks’. 2011 33Annu. Int. Conf. IEEE Engineering in Medicine and Biology Society, USA, 30 August–1 Septmber 2011, pp. 2192–2195.
    19. 19)
      • 10. Deepak, K.S., Babu, A.V.: ‘Improving energy efficiency of incremental relay based cooperative communications in wireless body area networks’, Int. J. Commun. Syst., 2015, 28, (1), pp. 91–111.
    20. 20)
      • 21. Reusens, E., Joseph, W., Vermeeren, G., et al: ‘On-body measurements and characterization of wireless communication channel for arm and torso of human’. Proc. 4th Int. Work. Wearable Implantable Body Sensor Networks, Germany, March 2007, pp. 264–269.
    21. 21)
      • 7. Funde, M.V., Gaikwad, M.A., Hinganikar, P.A.W.: ‘Review of lifetime enhancement of wireless sensor networks’, IORD J. Sci. Technol., 2015, 2, (2), pp. 35–39.
    22. 22)
      • 9. Movassaghi, S., Shirvanimoghaddam, M., Abolhasan, M.: ‘A cooperative network coding approach to reliable wireless body area networks with demodulate-and-forward’. Proc. 2013 9th Int. Wireless Communications and Mobile Computing Conf. IWCMC2013, Italy, July 2013, pp. 394–399.
    23. 23)
      • 8. Tauqir, A., Javaid, N., Akram, S., et al: ‘Distance aware relaying energy-efficient: DARE to monitor patients in multi-hop body area sensor networks’. Proc. 2013 8th Int. Conf. Broadband, Wireless Computing, Communication and Applications (BWCCA 2013), France, October 2013, pp. 206–213.
    24. 24)
      • 15. Movassaghi, S., Shirvanimoghaddam, M., Abolhasan, M., et al: ‘An energy efficient network coding approach for wireless body area networks’. 38th Annu. IEEE Conf. Local Computing Networks, Australia, October 2013, pp. 468–475.
    25. 25)
      • 20. Bangash, J.I., Khan, A.W., Abdullah, A.H.: ‘Data-centric routing for intra wireless body sensor networks’, J. Med. Syst., 2015, 39, (91), pp. 1–13.
    26. 26)
      • 18. D'Andreagiovanni, F., Nardin, A.: ‘Towards the fast and robust optimal design of wireless body area networks’, Appl. Soft Comput., 2015, 37, pp. 971–982.
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