skip to main content
10.1145/3485730.3494112acmconferencesArticle/Chapter ViewAbstractPublication PagessensysConference Proceedingsconference-collections
short-paper

Enabling Offline Tuning of Fat Channel Communication

Published:15 November 2021Publication History

ABSTRACT

Though fat channel communication has advantages over earlier intra-body communication (IBC) technologies based on galvanic or capacitive coupling, the development of a protocol stack on top of fat channel communication is still at its infancy. In this paper, we consider Krentz's denial-of-sleep-resilient multi-channel medium access control (MAC) layer for IEEE 802.15.4 networks as a starting point for such a protocol stack. In brief, we conducted the following experiment with a phantom that mimics human tissues. Two devices exchanged IEEE 802.15.4 radio frames in a ping-pong manner on the phantom's fat tissue using Krentz's MAC layer. The data collected from this experiment lends itself to two purposes. First, it can serve to benchmark and tune algorithms for selecting radio channels. Second, it can also serve to benchmark and tune schemes for deriving cryptographic keys from received signal strength indicator (RSSI) readings. We made the data available at https://uppsala.box.com/s/z2a6jpigswpoifd5l73yophokcfwd88b.

References

  1. Asan et al. 2017. Intra-body microwave communication through adipose tissue. Healthcare technology letters 4, 4 (2017), 115--121. https://doi.org/10.1049/htl.2016.0104Google ScholarGoogle Scholar
  2. Bappaditya et al. 2020. Low Profile Implantable Antenna for Fat Intra-Body Communication. In Proceedings of EuCAP 2020. IEEE, 1--4. https://doi.org/10.23919/EuCAP48036.2020.9135606Google ScholarGoogle Scholar
  3. Dakdouk et al. 2018. Reinforcement learning techniques for optimized channel hopping in IEEE 802.15.4-TSCH networks. In Proceedings of MSWIM '18. ACM, 99--107. https://doi.org/10.1145/3242102.3242110Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Hylamia et al. 2019. Tiek: Two-tier Authentication and Key Distribution for Wearable Devices. In Proceedings of WiMob 2019. IEEE, 1--6. https://doi.org/10.1109/WiMOB.2019.8923555Google ScholarGoogle ScholarCross RefCross Ref
  5. Krentz. 2019. A denial-of-sleep-resilient medium access control layer for IEEE 802.15.4 networks. Ph.D. Dissertation. Potsdam University. https://doi.org/10.25932/publishup-43930Google ScholarGoogle Scholar
  6. Krentz et al. 2015. 6doku: towards secure over-the-air preloading of 6LoWPAN nodes using PHY key generation. In Proceedings of Smart SysTech 2015. VDE, 1--11.Google ScholarGoogle Scholar
  7. Pierrot et al. 2013. Practical Limitations of Secret-Key Generation in Narrowband Wireless Environments. CoRR abs/1312.3304 (2013).Google ScholarGoogle Scholar

Index Terms

  1. Enabling Offline Tuning of Fat Channel Communication

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems
          November 2021
          686 pages
          ISBN:9781450390972
          DOI:10.1145/3485730

          Copyright © 2021 ACM

          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]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 15 November 2021

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • short-paper
          • Research
          • Refereed limited

          Acceptance Rates

          SenSys '21 Paper Acceptance Rate25of139submissions,18%Overall Acceptance Rate174of867submissions,20%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader