Parameterized slot scheduling for adaptive and autonomous TSCH networks

Jinhwan Jung, Daewoo Kim, Joonki Hong, Joohyun Kang, Yung Yi

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

12 Citations (Scopus)

Abstract

Internet of things (IoT) technologies have been widely used in various applications, especially in industrial field, which often require energy efficiency, high reliability, and low delay. Recently, Time Slotted Channel Hopping (TSCH) that operates based on TDMA with channel hopping has been standardized to achieve such multiple goals. Based on TSCH protocol, the nodes are scheduled at slots by scheduling algorithm, where there is a trade-off between energy efficiency and contention among the senders. In this paper, we propose a novel slot scheduling mechanism that works on TSCH, called PAAS (Parameterized Adaptive and Autonomous Scheduling), which minimizes the energy consumption with the reasonably low latency while guaranteeing the reliability. PAAS is an autonomous and distributed algorithm and it works adaptively to traffic intensity, Slotframe length, and reliability requirements. To evaluate PAAS, we implement PAAS in Contiki OS and perform extensive simulations using Cooja simulator where we confirm that energy consumption is reduced by up to 63 % comparing to existing scheduling algorithms with 99.997 % reliability.

Original languageEnglish
Title of host publicationINFOCOM 2018 - IEEE Conference on Computer Communications Workshops
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages76-81
Number of pages6
ISBN (Electronic)9781538659793
DOIs
Publication statusPublished - 2018 Jul 6
Event2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018 - Honolulu, United States
Duration: 2018 Apr 152018 Apr 19

Publication series

NameINFOCOM 2018 - IEEE Conference on Computer Communications Workshops

Conference

Conference2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018
Country/TerritoryUnited States
CityHonolulu
Period18/4/1518/4/19

Bibliographical note

Funding Information:
0This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (No. B0717-18-0034, Versatile Network System Architecture for Multidimensional Diversity)

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications

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