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A simulation framework for connecting in-body nano communication with out-of-body devices

Published: 07 October 2020 Publication History

Abstract

We present a novel simulation framework bridging the gap between in-body nano communication and out-of-body body area network (BAN). We assume nanobots freely flowing within the blood system. Their mobility can be modeled using the BloodVoyagerS module. The communication channels are modeled using proximity (nanobot to nanobot), proximity and ultrasonic communication (nanobot to a gateway), and standard IEEE 802.15.4 for BAN communication. In our simulation framework, we rely on ns-3 to model all the three independent communication channels to, for the first time, study the end-to-end communication performance from nanobots to a connected host system. We consider the system a fundamental basis for more advanced studies of such integrated and very heterogeneous communication systems.

References

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Ian F. Akyildiz, M. Pierobon, S. Balasubramaniam, and Y. Koucheryavy. 2015. The Internet of Bio-Nano Things. IEEE Communications Magazine (COMMAG) 53, 3 (March 2015), 32--40.
[2]
Min Chen, Sergio Gonzalez, Athanasios Vasilakos, Huasong Cao, and Victor C. Leung. 2011. Body Area Networks: A Survey. ACM/Springer Mobile Networks and Applications (MONET) 16, 2 (April 2011), 171--193.
[3]
Falko Dressler and Stefan Fischer. 2015. Connecting In-Body Nano Communication with Body Area Networks: Challenges and Opportunities of the Internet of Nano Things. Elsevier Nano Communication Networks 6 (June 2015), 29--38.
[4]
Regine Geyer, Marc Stelzner, Florian Büther, and Sebastian Ebers. 2018. Blood-VoyagerS: Simulation of the Work Environment of Medical Nanobots. In 5th ACM International Conference on Nanoscale Computing and Communication (NANOCOM 2018). ACM, Reykjavík, Iceland, 5:1--5:6.
[5]
Giuseppe Enrico Santagati, Tommaso Melodia, Laura Galluccio, and Sergio Palazzo. 2015. Medium Access Control and Rate Adaptation for Ultrasonic Intrabody Sensor Networks. IEEE/ACM Transactions on Networking (TON) 23, 4 (Aug. 2015), 1121--1134.

Cited By

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  • (2024)BVS-Net: A Networking Tool for Studying THz-based Intra-body Communication LinksProceedings of the 11th Annual ACM International Conference on Nanoscale Computing and Communication10.1145/3686015.3691639(132-133)Online publication date: 28-Oct-2024
  • (2024)Design Options for Aggregators for In-Body NetworksBody Area Networks. Smart IoT and Big Data for Intelligent Health Management10.1007/978-3-031-72524-1_6(64-74)Online publication date: 27-Dec-2024
  • (2023)Age-of-Information-Based Performance of Ultrasonic Communication Channels for Nanosensor-to-Gateway CommunicationIEEE Transactions on Molecular, Biological and Multi-Scale Communications10.1109/TMBMC.2023.32734529:2(112-123)Online publication date: Jun-2023
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  1. A simulation framework for connecting in-body nano communication with out-of-body devices

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      cover image ACM Other conferences
      NanoCom '20: Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication
      September 2020
      142 pages
      ISBN:9781450380836
      DOI:10.1145/3411295
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 07 October 2020

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      Author Tags

      1. body area networks
      2. nano networks
      3. simulation tools

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      NanoCom '20 Paper Acceptance Rate 24 of 24 submissions, 100%;
      Overall Acceptance Rate 97 of 135 submissions, 72%

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      View all
      • (2024)BVS-Net: A Networking Tool for Studying THz-based Intra-body Communication LinksProceedings of the 11th Annual ACM International Conference on Nanoscale Computing and Communication10.1145/3686015.3691639(132-133)Online publication date: 28-Oct-2024
      • (2024)Design Options for Aggregators for In-Body NetworksBody Area Networks. Smart IoT and Big Data for Intelligent Health Management10.1007/978-3-031-72524-1_6(64-74)Online publication date: 27-Dec-2024
      • (2023)Age-of-Information-Based Performance of Ultrasonic Communication Channels for Nanosensor-to-Gateway CommunicationIEEE Transactions on Molecular, Biological and Multi-Scale Communications10.1109/TMBMC.2023.32734529:2(112-123)Online publication date: Jun-2023
      • (2022)Modeling Ultrasonic Channels with Mobility for Gateway to In-Body NanocommunicationGLOBECOM 2022 - 2022 IEEE Global Communications Conference10.1109/GLOBECOM48099.2022.10000616(4535-4540)Online publication date: 4-Dec-2022
      • (2022)Not Anytime Soon: The Clinical Translation of Nanorobots and Its Biocompatibility-Interdisciplinarity CritiqueArtificial Intelligence and Its Discontents10.1007/978-3-030-88615-8_8(147-178)Online publication date: 1-Jan-2022
      • (2021)Age of Information in In-Body Nano Communication NetworksProceedings of the Eight Annual ACM International Conference on Nanoscale Computing and Communication10.1145/3477206.3477481(1-2)Online publication date: 7-Sep-2021
      • (2021)Markov Model for the Flow of Nanobots in the Human Circulatory SystemProceedings of the Eight Annual ACM International Conference on Nanoscale Computing and Communication10.1145/3477206.3477477(1-7)Online publication date: 7-Sep-2021

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