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Implementing Single Path and Multipath Techniques Under Feedback Channel for Molecular Communication

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Abstract

In this paper, we have considered the feedback channel for molecular communication in order to increase the rate of communication and also to reduce energy consumption by implementing the single and multipath techniques. The transmitter nanomachine (TN) transmits ‘n’ number of molecules to the receiver nanomachine (RN). If the RN receives the molecules successfully, it will send positive feedback (PF) molecules to the TN; otherwise, it will send negative feedback (NF) molecules. The TN can determine the channel state condition and enforce either single or multipath technique based on the number of received PF and NF. The symbols 1 and 0 describe the PF and NF molecules, respectively. When the TN receives 11 and 00 in a row, the channel state is assumed to be good and bad. If the TN receives either 01 or 10, however, it will consider the channel state to be neither good nor bad (also termed as intermediate state). As a result, we assume that the next expected/predicted symbol of 0 and 1 will bring the channel state into a fixed state, i.e. good or bad. If the next expected symbol is either 0 or 1, we conduct a three-symbol majority vote to determine if the channel is good or bad (for example, if the current state is 10, then 101 is a good state, and if the current state is 01, then 011 is also a good state). Similarly, we get the channel is in bad state after conducting majority voting of the symbols for the next predicted symbol of 0 with the current state 01 and 0 or 10 and 0). In order to achieve a higher average complete transmission of the target molecules as well as a higher communication rate, single path and multipath techniques are used in the good and bad states, respectively. The simulation results using MATLAB show that in the bad state channel, the rate of communication, average successful complete transmission, and mean energy consumption of the desired molecules all perform better using the multipath technique. If the channel state is good, however, the single path technique provides better performance.

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References

  1. Chang, S. (1956). Theory of information feedback systems. IRE Transactions on Information Theory, 2(3), 29–40.

    Article  Google Scholar 

  2. Li, J., & Zhao, Y. Q. (2009). Resequencing analysis of stop-and-wait ARQ for parallel multichannel communications. IEEE/ACM Transactions on Networking, 17(3), 817–830.

    Article  Google Scholar 

  3. Felicetti, L., Femminella, M., Reali, G., Nakano, T., & Vasilakos, A. (2014). TCP-like molecular communications. IEEE Journal on Selected Areas in Communications, 32(12), 2354–2367.

    Article  Google Scholar 

  4. Furubayashi, T., Nakano, T., Eckford, A., & Yomo, T. (2015). Reliable end-to-end molecular communication with packet replication and retransmission. In IEEE GLOBECOM.

  5. Bai, C., Leeson, M. S., & Higgins, M. D. (2015). Performance of SW-ARQ in bacterial quorum communications. NanoCommunication Networks, 6(1), 3–14.

    Google Scholar 

  6. Wang, X., Higgins, M., & Leeson, M. (2013). Stop-and-wait automatic repeat reQuest schemes for molecular communications. In First international black sea conference on communications and networking (BlackSeaCom) (pp. 84–88).

  7. Nakano, T., Moore, M. J., Wei, F., Vasilakos, A. V., & Shuai, J. (2012). Molecular communication and networking: Opportunities and challenges. IEEE Transactions on Nanobioscience, 11(2), 135–148.

    Article  Google Scholar 

  8. Nakano, T., Okaie, Y., & Liu, J. Q. (2012). Channel model and capacity analysis of molecular communication with Brownian motion. IEEE Communications Letters, 16(6), 797–800.

    Article  Google Scholar 

  9. Pierobon, M., & Akyildiz, I. F. (2013). Capacity of a diffusion-based molecular communication system with channel memory and molecular noise. IEEE Transactions on Information Theory, 59(2), 942–954.

    Article  MathSciNet  Google Scholar 

  10. Kuran, M. S., Yilmaz, H. B., Tugcu, T., & Ozerman, B. (2010). Energy model for communication via diffusion in nanonetworks. Nano Communication Networks, 1(2), 86–95.

    Article  Google Scholar 

  11. Tepekule, B., Pusane, A. E., Yilmaz, H. B., &Tugcu, T. (2014). Energy efficient ISI mitigation for communication via diffusion. In IEEE International black sea conference on communications and networking (pp. 33–37).

  12. Mosayebi, R., Gohari, A., Mirmohseni, M., & Kenari, M. N. (2018). Type-based sign modulation and its application for ISI mitigation in molecular communication. IEEE Transactions on Communications, 66(1), 180–193.

    Article  Google Scholar 

  13. Tepekule, B., Pusane, A. E., Yilmaz, H. B., Chae, C.-B., & Tugcu, T. (2015). ISI mitigation techniques in molecular communication. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 1(2), 202–216.

    Article  Google Scholar 

  14. Yilmaz, H. B., & Chae, C.-B. (2014). Simulation study of molecular communication systems with an absorbing receiver: Modulation and ISI mitigation techniques. Simulation Modelling Practice and Theory, 49(15), 136–150.

    Article  Google Scholar 

  15. Kuran, M. S., Yilmaz, H. B., Tugcu, T., & Akyildiz, I. F. (2011). Modulation techniques for communication via diffusion in nanonetworks. In Proceedings of the IEEE international conference on communications (pp. 1–5).

  16. Kimand, N.-R., & Chae, C.-B. (2012). Novel modulation techniques using isomers as messenger molecules for nanocommunication networks via diffusion. In IEEE international conference on communications (ICC workshop on molecular and nano-scale communications).

  17. Kabir, M. H., Riazul Islam, S. M., & Kwak, K. S. (2015). D-MoSK modulation in molecular communications. IEEE Transctions on Nanobioscience, 14(6), 680–683.

    Article  Google Scholar 

  18. Farsad, N., Yilmaz, H. B., Eckford, A., Chae, C. B., & Guo, W. (2016). A comprehensive survey of recent advancements in molecular communication. IEEE Communications Surveys & Tutorials, 18(3), 1887–1919.

    Article  Google Scholar 

  19. Moore, M. J., Nakano, T., Enomoto, A., & Suda, T. (2012). Measuring distance from single spike feedback signals in molecular communication. IEEE Transactions on Signal Processing, 60(7), 3576–3587.

    Article  MathSciNet  Google Scholar 

  20. Huang, J.-T., Lai, H.-Y., Lee, Y.-C., Lee, C.-H., & Yeh, P.-C. (2013). Distance estimation in concentration-based molecular communications. In IEEE global communications conference (GLOBECOM) (pp. 2587–2591).

  21. Luo, Z., Lin, L., Fu, Q., & Yan, H. (2018). An effective distance measurement method for molecular communication systems. In IEEE international conference on sensing, intercommunication and networking (SECON workshops) IEEE. https://doi.org/10.1109/SECONW.2018.8396344.

  22. Ningthoujam, S., Chingkheinganba, T., & Chakraborty, S. K. (2020). Finding an effective distance between T-Cell and B-Cell using S/W ARQ in an immune system communication. China Communications, 17(1), 174–185.

    Article  Google Scholar 

  23. Eckford, A. W., Furubayashi, T., & Nakano, T. (2016). RNA as a nanoscale data transmission medium: error analysis. In IEEE 16th international conference on nanotechnology (IEEE-NANO) (pp. 224–227).

  24. Furubayashi, T., Nakano, T., Eckford, A., Okaie, Y., & Yomo, T. (2016). Packet fragmentation and reassembly in molecular communication. IEEE Transactions on Nano Bioscience, 15(3), 284–288.

    Article  Google Scholar 

  25. Atakan, B., Akan, O. B., & Balasubramaniam, S. (2012). Body area nanonetworks with molecular communications in nanomedicine. IEEE Communications Magazine, 50(1), 28–34.

    Article  Google Scholar 

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I am enclosing herewith a manuscript entitled “Implementing Single Path and Multipath Techniques under Feedback Channel for Molecular Communication”, Wireless Personal Communication. The Corresponding author of this manuscript is Dr. SN and contribution of the author as mentioned with his responsibility in the research with Dr. SKC.

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Correspondence to Sanjit Ningthoujam.

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Ningthoujam, S., Chakraborty, S.K. Implementing Single Path and Multipath Techniques Under Feedback Channel for Molecular Communication. Wireless Pers Commun 120, 3315–3328 (2021). https://doi.org/10.1007/s11277-021-08615-9

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