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Instant: A TSCH Schedule for Data Collection from Mobile Nodes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the 2019 International Conference on Embedded Wireless Systems and Networks
Publisher or commissioning bodyAssociation for Computing Machinery (ACM)
Pages35-46
Number of pages12
Edition2019
ISBN (Print)978-0-9949886-3-8
DateAccepted/In press - 1 Dec 2018
EventInternational Conference on Embedded Wireless Systems and Networks (EWSN 2019) - Beijing, China
Duration: 25 Feb 201928 Feb 2019
http://ewsn2019.thss.tsinghua.edu.cn/

Conference

ConferenceInternational Conference on Embedded Wireless Systems and Networks (EWSN 2019)
CountryChina
CityBeijing
Period25/02/1928/02/19
Internet address

Abstract

Low-power wearable devices are becoming increasingly important for fitness and healthcare applications. However, existing protocols based on the IEEE 802.15.4 low-power wireless standard are not optimized for data collection from mobile devices. This paper presents Instant: a schedule for the IEEE 802.15.4 TSCH protocol tailored for this application. We evaluate the data collection speed, energy consumption, and fairness of Instant, and show that Instant achieves several times higher data collection speed from mobile nodes compared with the state-of-the-art Orchestra schedule.

    Structured keywords

  • Digital Health

Event

International Conference on Embedded Wireless Systems and Networks (EWSN 2019)

Duration25 Feb 201928 Feb 2019
CityBeijing
CountryChina
Web address (URL)
Degree of recognitionInternational event

Event: Conference

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Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via ACM at https://dl.acm.org/ft_gateway.cfm?id=3324325&ftid=2070618&dwn=1&CFID=103634826&CFTOKEN=ab834cd6be923fbd-E816E6BC-FC89-345B-A067BA78603AC5E1. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1.28 MB, PDF document

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