Distributed slot scheduling for QoS guarantee over tsch-based iot networks via adaptive parameterization

Jinhwan Jung, Daewoo Kim, Taeyoung Lee, Joohyun Kang, Namjo Ahn, Yung Yi

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

2 Citations (Scopus)

Abstract

Internet of Things (IoT), which connects a large number of devices with wireless connectivity, has come into the spotlight. As the scope of IoT applications becomes wider, we observe a surge of missioncritical IoT services, e.g., industrial automation systems and medical IoT systems, requiring to satisfy stringent latency, reliability, and/or energy efficiency guarantees. For this purpose, a new MAC, called Time Slotted Channel Hopping (TSCH), has been standardized in IEEE 802.15.4e. However, it is challenging to design a distributed scheduling protocol that achieves the required QoS and energy efficiency at the same time due to complicated tradeoff (providing enough number of slots for QoS vs. minimizing scheduled slots for energy efficiency). In this paper, we propose a novel framework for providing QoS, called SSAP, which is designed to maximize network lifetime in a distributed fashion while satisfying given reliability and latency requirements. To this end, we decompose our goal into two crucial design components: (i) scheduling of slot and channel, and (ii) control of medium access period, each of which is performed by low-complexity and distributed mechanisms. To the best of our knowledge, this paper is the first work to comprehensively handle multiple QoSes for TSCH-based IoT networks. We implement SSAP in Contiki OS and perform extensive simulations and real experiments under various scenarios. Our evaluation results demonstrate that SSAP satisfies highly reliable communication and latency requirements while having the network lifetime that is 1.6 times longer compared to existing protocols for TSCH.

Original languageEnglish
Title of host publicationProceedings - 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages97-108
Number of pages12
ISBN (Electronic)9781728154978
DOIs
Publication statusPublished - 2020 Apr
Event19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020 - Sydney, Australia
Duration: 2020 Apr 212020 Apr 24

Publication series

NameProceedings - 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020

Conference

Conference19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020
Country/TerritoryAustralia
CitySydney
Period20/4/2120/4/24

Bibliographical note

Funding Information:
This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No.2016-0-00160,Versatile Network System Architecture for Multi-dimensional Diversity) and Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No.2018-0-00772,Development of an ultra-Low power(500uW) long range radio for ultra-small IoT based on new Two-Tone OOK modulation scheme). We would like to thank to the anonymous reviewers and shepherd for the valuable comments.

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Information Systems and Management

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