Poster Abstract: Game-theoretic optimization of the TSCH scheduling function for low-power IoT networks

Omid Tavallaie; Javid Taheri; Albert Y. Zomaya

doi:10.1145/3412382.3458779

Poster Abstract: Game-theoretic optimization of the TSCH scheduling function for low-power IoT networks

Omid Tavallaie, Javid Taheri, Albert Y. Zomaya

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Time-Slotted Channel Hopping (TSCH) is a synchronous Medium Access Control (MAC) technology standardized as a part of IEEE 802.15.4e to provide highly reliable communications for resource-constrained devices. While IETF and IEEE standards defined solutions for the configuration of TSCH nodes, the problem of creating dynamic TSCH schedules has been left open. In this poster, we introduce GT-SF, a distributed TSCH scheduling function that is designed based on the non-cooperative game-theory for low-power Internet of Things (IoT) applications. We implement GT-SF on Zolerita firefly IoT motes and the Contiki-NG operating system to examine its effectiveness. The evaluation results demonstrate that GT-SF outperforms Orchestra (the state-of-the-art method) by enhancing the packet delivery ratio and reducing the latency.

Original language	English
Title of host publication	Proceedings of the 20th International Conference on Information Processing in Sensor Networks, IPSN 2021 (co-located with CPS-IoT Week 2021)
Publisher	Association for Computing Machinery
Pages	392-393
Number of pages	2
ISBN (Electronic)	9781450380980
DOIs	https://doi.org/10.1145/3412382.3458779
Publication status	Published - 18 May 2021
Externally published	Yes
Event	20th International Conference on Information Processing in Sensor Networks, IPSN 2021, co-located with CPS-IoT Week 2021 - Virtual, Online, United States Duration: 18 May 2021 → 21 May 2021

Publication series

Name	Proceedings of the International Conference on Information Processing in Sensor Networks

Conference

Conference	20th International Conference on Information Processing in Sensor Networks, IPSN 2021, co-located with CPS-IoT Week 2021
Country/Territory	United States
City	Virtual, Online
Period	18/05/2021 → 21/05/2021

Bibliographical note

Publisher Copyright:
© 2021 ACM.

Keywords

Internet of Things (IoT)
Time-Slotted Channel Hopping (TSCH)

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.1145/3412382.3458779Licence: Unspecified

Cite this

Tavallaie, O., Taheri, J., & Zomaya, A. Y. (2021). Poster Abstract: Game-theoretic optimization of the TSCH scheduling function for low-power IoT networks. In Proceedings of the 20th International Conference on Information Processing in Sensor Networks, IPSN 2021 (co-located with CPS-IoT Week 2021) (pp. 392-393). Article 3458779 (Proceedings of the International Conference on Information Processing in Sensor Networks). Association for Computing Machinery. https://doi.org/10.1145/3412382.3458779

Tavallaie, Omid ; Taheri, Javid ; Zomaya, Albert Y. / Poster Abstract: Game-theoretic optimization of the TSCH scheduling function for low-power IoT networks. Proceedings of the 20th International Conference on Information Processing in Sensor Networks, IPSN 2021 (co-located with CPS-IoT Week 2021). Association for Computing Machinery, 2021. pp. 392-393 (Proceedings of the International Conference on Information Processing in Sensor Networks).

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title = "Poster Abstract: Game-theoretic optimization of the TSCH scheduling function for low-power IoT networks",

abstract = "Time-Slotted Channel Hopping (TSCH) is a synchronous Medium Access Control (MAC) technology standardized as a part of IEEE 802.15.4e to provide highly reliable communications for resource-constrained devices. While IETF and IEEE standards defined solutions for the configuration of TSCH nodes, the problem of creating dynamic TSCH schedules has been left open. In this poster, we introduce GT-SF, a distributed TSCH scheduling function that is designed based on the non-cooperative game-theory for low-power Internet of Things (IoT) applications. We implement GT-SF on Zolerita firefly IoT motes and the Contiki-NG operating system to examine its effectiveness. The evaluation results demonstrate that GT-SF outperforms Orchestra (the state-of-the-art method) by enhancing the packet delivery ratio and reducing the latency.",

keywords = "Internet of Things (IoT), Time-Slotted Channel Hopping (TSCH)",

author = "Omid Tavallaie and Javid Taheri and Zomaya, {Albert Y.}",

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doi = "10.1145/3412382.3458779",

language = "English",

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Tavallaie, O, Taheri, J & Zomaya, AY 2021, Poster Abstract: Game-theoretic optimization of the TSCH scheduling function for low-power IoT networks. in Proceedings of the 20th International Conference on Information Processing in Sensor Networks, IPSN 2021 (co-located with CPS-IoT Week 2021)., 3458779, Proceedings of the International Conference on Information Processing in Sensor Networks, Association for Computing Machinery, pp. 392-393, 20th International Conference on Information Processing in Sensor Networks, IPSN 2021, co-located with CPS-IoT Week 2021, Virtual, Online, United States, 18/05/2021. https://doi.org/10.1145/3412382.3458779

Poster Abstract: Game-theoretic optimization of the TSCH scheduling function for low-power IoT networks. / Tavallaie, Omid; Taheri, Javid; Zomaya, Albert Y.
Proceedings of the 20th International Conference on Information Processing in Sensor Networks, IPSN 2021 (co-located with CPS-IoT Week 2021). Association for Computing Machinery, 2021. p. 392-393 3458779 (Proceedings of the International Conference on Information Processing in Sensor Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Poster Abstract: Game-theoretic optimization of the TSCH scheduling function for low-power IoT networks

AU - Tavallaie, Omid

AU - Taheri, Javid

AU - Zomaya, Albert Y.

PY - 2021/5/18

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N2 - Time-Slotted Channel Hopping (TSCH) is a synchronous Medium Access Control (MAC) technology standardized as a part of IEEE 802.15.4e to provide highly reliable communications for resource-constrained devices. While IETF and IEEE standards defined solutions for the configuration of TSCH nodes, the problem of creating dynamic TSCH schedules has been left open. In this poster, we introduce GT-SF, a distributed TSCH scheduling function that is designed based on the non-cooperative game-theory for low-power Internet of Things (IoT) applications. We implement GT-SF on Zolerita firefly IoT motes and the Contiki-NG operating system to examine its effectiveness. The evaluation results demonstrate that GT-SF outperforms Orchestra (the state-of-the-art method) by enhancing the packet delivery ratio and reducing the latency.

AB - Time-Slotted Channel Hopping (TSCH) is a synchronous Medium Access Control (MAC) technology standardized as a part of IEEE 802.15.4e to provide highly reliable communications for resource-constrained devices. While IETF and IEEE standards defined solutions for the configuration of TSCH nodes, the problem of creating dynamic TSCH schedules has been left open. In this poster, we introduce GT-SF, a distributed TSCH scheduling function that is designed based on the non-cooperative game-theory for low-power Internet of Things (IoT) applications. We implement GT-SF on Zolerita firefly IoT motes and the Contiki-NG operating system to examine its effectiveness. The evaluation results demonstrate that GT-SF outperforms Orchestra (the state-of-the-art method) by enhancing the packet delivery ratio and reducing the latency.

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M3 - Conference contribution

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BT - Proceedings of the 20th International Conference on Information Processing in Sensor Networks, IPSN 2021 (co-located with CPS-IoT Week 2021)

PB - Association for Computing Machinery

T2 - 20th International Conference on Information Processing in Sensor Networks, IPSN 2021, co-located with CPS-IoT Week 2021

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ER -

Tavallaie O, Taheri J, Zomaya AY. Poster Abstract: Game-theoretic optimization of the TSCH scheduling function for low-power IoT networks. In Proceedings of the 20th International Conference on Information Processing in Sensor Networks, IPSN 2021 (co-located with CPS-IoT Week 2021). Association for Computing Machinery. 2021. p. 392-393. 3458779. (Proceedings of the International Conference on Information Processing in Sensor Networks). doi: 10.1145/3412382.3458779

Poster Abstract: Game-theoretic optimization of the TSCH scheduling function for low-power IoT networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this