Game-Theoretic Optimization of the TSCH Scheduling Function for Low-Power IoT Networks
2021 (English)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 (ACM), 2021, p. 392-393Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2021. p. 392-393
Keywords [en]
Internet of Things (IoT), Time-Slotted Channel Hopping (TSCH), Game theory, IEEE Standards, Low power electronics, Medium access control, Scheduling, Sensor networks, Medium access control(MAC), Non-cooperative game theory, Packet delivery ratio, Reliable communication, Resourceconstrained devices, Scheduling functions, State-of-the-art methods, Internet of things
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-86822DOI: 10.1145/3412382.3458779Scopus ID: 2-s2.0-85106466555ISBN: 9781450380980 (print)OAI: oai:DiVA.org:kau-86822DiVA, id: diva2:1608255
Conference
20th International Conference on Information Processing in Sensor Networks, IPSN, co-located with CPS-IoT Week 2021, [DIGITAL], May 18-21, 2021.
Note
A,(best demo award)
2021-11-032021-11-032022-12-22Bibliographically approved