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Integration of semi-permanent wired clusters into intrabody wireless perpetual nanonetworks

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Abstract

The communication of nanometer-sized integrated devices called nanobots in the human body is very important for the realization of collaborative behaviors and complex healthcare tasks. To have a functional and feasible intrabody perpetual nanonetwork, communication energy saving is essential. In this paper, we investigate the impact of the integration of semi-permanent wired clusters (SPWC) into intrabody wireless perpetual nanonetworks for reducing the total wireless traffic and saving the nanobots’ energy of the communication to improve the packet delivery ratio and reliability of the nanonetworks. We compare the proposed semi-permanent wired clusters with the previous work of opportunistic wired clusters (OWC) as well as the baseline nanonetwork without wired clusters. Two operation modes are proposed to manage the SPWC clusters which are SPWC with only one active receiver in a cluster and SPWC with all active receivers in a cluster. We investigate the performance impact of the proposed SPWC architecture in its two operation modes and compare them with the previous work of OWC as well as the baseline nanonetwork with extensive simulations. The impact of wired cluster size, wire length and nanobot density on the network performance are studied. The results show a significant packet delivery improvement of SPWC over the baseline and a relative improvement over OWC with fewer physical limitations.

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Data availability

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

Code Availability

The NS-3/Nano-sim based simulation codes are available from the corresponding author on reasonable request.

Notes

  1. https://myhealth.ucsd.edu/167,complete_blood_count.

References

  1. Iqbal, I., Nazir, M., & Sabah, A. (2022). Design of energy-efficient protocol stack for nanocommunication using greedy algorithms. Journal of Computer Networks and Communications, 2022, 1–22.

    Article  Google Scholar 

  2. Lemic, F., Abadal, S., Stevanovic, A., Alarcón, E., & Famaey, J. (2022). Toward location-aware in-body terahertz nanonetworks with energy harvesting. In Proceedings of the 9th ACM international conference on nanoscale computing and communication (pp. 1–6).

  3. Agoulmine, N., Kim, K., Kim, S., Rim, T., Lee, J.-S., & Meyyappan, M. (2012). Enabling communication and cooperation in bio-nanosensor networks: Toward innovative healthcare solutions. IEEE Wireless Communications, 19(5), 42–51.

    Article  Google Scholar 

  4. de Almeida Amazonas, J. R., Hesselbach, X., & Giozza, W. F. (2021). Low complexity nano-networks routing scenarios and strategies. Nano Communication Networks, 28, 100349.

    Article  Google Scholar 

  5. Lemic, F., Abadal, S., Tavernier, W., Stroobant, P., Colle, D., Alarcon, E., Marquez-Barja, J., & Famaey, J. (2021). Survey on terahertz nanocommunication and networking: A top-down perspective. IEEE Journal on Selected Areas in Communications, 39(6), 1506–1543.

    Article  Google Scholar 

  6. Akyildiz, I. F., & Jornet, J. M. (2010). Electromagnetic wireless nanosensor networks. Nano Communication Networks, 1(1), 3–19.

    Article  Google Scholar 

  7. Malak, D., & Akan, O. B. (2012). Molecular communication nanonetworks inside human body. Nano Communication Networks, 3(1), 19–35.

    Article  Google Scholar 

  8. Mohrehkesh, S., Weigle, M. C., & Das, S. K. (2017). Energy harvesting in electromagnetic nanonetworks. Computer, 50(2), 59–67.

    Article  Google Scholar 

  9. Canovas-Carrasco, S., Garcia-Sanchez, A.-J., & Garcia-Haro, J. (2018). On the nature of energy-feasible wireless nanosensor networks. Sensors, 18(5), 1356.

    Article  Google Scholar 

  10. Asghari, M. (2022). Intrabody hybrid perpetual nanonetworks based on simultaneous wired and wireless nanocommunications. Nano Communication Networks, 32, 100406.

  11. Enomoto, A., Moore, M. J., Suda, T., & Oiwa, K. (2011). Design of self-organizing microtubule networks for molecular communication. Nano Communication Networks, 2(1), 16–24.

    Article  Google Scholar 

  12. Piro, G., Grieco, L. A., Boggia, G., & Camarda, P. (2013). Nano-sim: Simulating electromagnetic-based nanonetworks in the network simulator 3. In SimuTools (pp. 203–210).

  13. Akyildiz, I. F., Brunetti, F., & Blázquez, C. (2008). Nanonetworks: A new communication paradigm. Computer Networks, 52(12), 2260–2279.

    Article  Google Scholar 

  14. Jornet, J. M., & Akyildiz, I. F. (2011). Information capacity of pulse-based Wireless nanosensor networks. In 2011 8th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks (pp. 80–88). Salt Lake City: IEEE.

  15. Jornet, J. M., & Akyildiz, I. F. (2012). Joint energy harvesting and communication analysis for perpetual wireless nanosensor networks in the terahertz band. IEEE Transactions on Nanotechnology, 11(3), 570–580.

    Article  Google Scholar 

  16. Yang, K., Pellegrini, A., Munoz, M. O., Brizzi, A., Alomainy, A., & Hao, Y. (2015). Numerical analysis and characterization of THz propagation channel for body-centric nano-communications. IEEE Transactions on Terahertz Science and Technology, 5(3), 419–426.

    Article  Google Scholar 

  17. Asorey-Cacheda, R., Lemic, F., Garcia-Sanchez, A.-J., Abadal, S., Famaey, J., & Garcia-Haro, J. (2021). Nanorouter awareness in flow-guided nanocommunication networks. In 2021 17th international conference on wireless and mobile computing, networking and communications (WiMob) (pp. 109–114). IEEE.

  18. Canovas-Carrasco, S., Garcia-Sanchez, A.-J., & Garcia-Haro, J. (2018). A nanoscale communication network scheme and energy model for a human hand scenario. Nano Communication Networks, 15, 17–27.

    Article  Google Scholar 

  19. Dedu, E., & Asghari, M. (2023). Time-based ray tracing forwarding in dense nanonetworks. In Advanced information networking and applications: Proceedings of the 37th international conference on advanced information networking and applications (AINA-2023) (Vol. 1, pp. 497–508). Springer.

  20. Yao, X.-W., Chen, Y.-W., Wu, Y., Zhao, K., & Jornet, J. M. (2022). FGOR: Flow-guided opportunistic routing for intra-body nanonetworks. IEEE Internet of Things Journal, 9, 21765–21776.

    Article  Google Scholar 

  21. Yao, X.-W., Zhao, K., Wu, Y., Lin, L. & Chen, Y.-W. (2022). An opportunistic routing strategy for circulation flow-guided nano-networks. In Proceedings of the 9th ACM international conference on nanoscale computing and communication (pp. 1–7).

  22. Dambri, O. A., & Cherkaoui, S. (2021). Modeling self-assembly of polymer-based wired nanocommunication channel. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 8, 107–118.

    Article  Google Scholar 

  23. Dambri, O. A., & Cherkaoui, S. (2020). Toward a wired ad hoc nanonetwork. In ICC 2020—2020 IEEE international conference on communications (ICC) (pp. 1–6). Ireland: IEEE.

  24. Sato, M. (2011). Elastic and plastic deformation of carbon nanotubes. Procedia Engineering, 14, 2366–2372.

    Article  Google Scholar 

  25. Miao, M. (2011). Electrical conductivity of pure carbon nanotube yarns. Carbon, 49(12), 3755–3761.

    Article  Google Scholar 

  26. Ramírez, M., González, R., Munoz, F., Valdivia, J., Rogan, J., & Kiwi, M. (2015). Coaxial nanocable composed by imogolite and carbon nanotubes. In AIP conference proceedings (Vol. 1702, no. 1, p. 050005). AIP Publishing LLC.

  27. Patterson, S., Knowles, K., & Bishop, B. (2004). Toward magnetically-coupled reconfigurable modular robots. In IEEE international conference on robotics and automation, 2004. Proceedings. ICRA ’04 (Vol. 3, pp. 2900–2905). New Orleans: IEEE.

  28. Schäffel, F., Täschner, C., Rümmeli, M. H., Neu, V., Wolff, U., Queitsch, U., Pohl, D., Kaltofen, R., Leonhardt, A., Rellinghaus, B., Büchner, B., & Schultz, L. (2009). Carbon nanotubes terminated with hard magnetic FePt nanomagnets. Applied Physics Letters, 94(19), 193107.

  29. Nagy, Z., Abbott, J. J., & Nelson, B. J. (2007). The magnetic self-aligning hermaphroditic connector a scalable approach for modular microrobots. In IEEE/ASME international conference on advanced intelligent mechatronics (pp. 1–6). Zurich: IEEE.

  30. Yang, K., Bi, D., Deng, Y., Zhang, R., Rahman, M. M. U., Ali, N. A., Imran, M. A., Jornet, J. M., Abbasi, Q. H., & Alomainy, A. (2020). A comprehensive survey on hybrid communication in context of molecular communication and terahertz communication for body-centric nanonetworks. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 6(2), 107–133.

    Article  Google Scholar 

  31. Alam, M., Nurain, N., Tairin, S., & Islam, A. B. M. A. A. (2017). Energy-efficient transport layer protocol for hybrid communication in body area nanonetworks. In 2017 IEEE region 10 humanitarian technology conference (R10-HTC) (pp. 674–677). Dhaka: IEEE.

  32. Islam, S. M. R., Piran, M. J., Shrestha, A. P., Iqbal, A., Ali, F., & Kwak, K.-S. (2019). Hybrid nano communications. In 2019 International conference on information and communication technology convergence (ICTC) (pp. 66–70). Jeju Island: IEEE.

  33. Marzo, J. L., Pedraza, S. B., & Jornet, J. M. (2022). Modeling nanonetworks connectivity in the blood flow. In Proceedings of the 9th ACM international conference on nanoscale computing and communication (pp. 1–2).

  34. Yao, X.-W., Wu, Y.-C.-G., & Huang, W. (2019). Routing techniques in wireless nanonetworks: A survey. Nano Communication Networks, 21, 100250.

    Article  Google Scholar 

  35. Arrabal, T., Dhoutaut, D., & Dedu, E. (2018). Efficient multi-hop broadcasting in dense nanonetworks. In IEEE 17th International symposium on network computing and applications (NCA) (pp. 1–9). Cambridge: IEEE.

  36. Li, J., Ai, Y., Wang, L., Bu, P., Sharkey, C. C., Wu, Q., Wun, B., Roy, S., Shen, X., & King, M. R. (2016). Targeted drug delivery to circulating tumor cells via platelet membrane-functionalized particles. Biomaterials, 76, 52–65.

    Article  Google Scholar 

  37. Abbasi, Q. H., Yang, K., Chopra, N., Jornet, J. M., Abuali, N. A., Qaraqe, K. A., & Alomainy, A. (2016). Nano-communication for biomedical applications: a review on the state-of-the-art from physical layers to novel networking concepts. IEEE Access, 4, 3920–3935.

    Article  Google Scholar 

  38. Asorey-Cacheda, R., Canovas-Carrasco, S., Garcia-Sanchez, A.-J., & Garcia-Haro, J. (2020). An analytical approach to flow-guided nanocommunication networks. Sensors, 20(5), 1332.

    Article  Google Scholar 

  39. Weissker, U., Hampel, S., Leonhardt, A., & Büchner, B. (2010). Carbon nanotubes filled with ferromagnetic materials. Materials, 3(8), 4387–4427.

    Article  Google Scholar 

  40. Hargittai, I., & Chamberland, B. (1986). The VSEPR model of molecular geometry. In Symmetry (pp. 1021–1038). Elsevier.

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  1. Department of Computer Engineering, Faculty of Engineering, University of Maragheh, P.O. Box 55136-553, Maragheh, Iran

    Masoud Asghari

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  1. Masoud Asghari
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MA: Conception and design of study, Acquisition of data, Analysis and/or interpretation of data, Writing—original draft, Writing—review and editing.

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Correspondence to Masoud Asghari.

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Asghari, M. Integration of semi-permanent wired clusters into intrabody wireless perpetual nanonetworks. Telecommun Syst 84, 285–301 (2023). https://doi.org/10.1007/s11235-023-01051-z

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