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Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks

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

Standard

Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks. / Elsts, Atis; Fafoutis, Xenofon; Pope, James; Oikonomou, George; Piechocki, Robert; Craddock, Ian.

2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS 2017): Proceedings of a meeting held 5-7 June 2017, Ottawa, Ontario, Canada. Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 3-10 8271938.

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

Harvard

Elsts, A, Fafoutis, X, Pope, J, Oikonomou, G, Piechocki, R & Craddock, I 2018, Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks. in 2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS 2017): Proceedings of a meeting held 5-7 June 2017, Ottawa, Ontario, Canada., 8271938, Institute of Electrical and Electronics Engineers (IEEE), pp. 3-10, 13th International Conference on Distributed Computing in Sensor Systems, DCOSS 2017, Ottawa, Canada, 5/06/17. https://doi.org/10.1109/DCOSS.2017.20

APA

Elsts, A., Fafoutis, X., Pope, J., Oikonomou, G., Piechocki, R., & Craddock, I. (2018). Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks. In 2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS 2017): Proceedings of a meeting held 5-7 June 2017, Ottawa, Ontario, Canada (pp. 3-10). [8271938] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/DCOSS.2017.20

Vancouver

Elsts A, Fafoutis X, Pope J, Oikonomou G, Piechocki R, Craddock I. Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks. In 2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS 2017): Proceedings of a meeting held 5-7 June 2017, Ottawa, Ontario, Canada. Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 3-10. 8271938 https://doi.org/10.1109/DCOSS.2017.20

Author

Elsts, Atis ; Fafoutis, Xenofon ; Pope, James ; Oikonomou, George ; Piechocki, Robert ; Craddock, Ian. / Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks. 2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS 2017): Proceedings of a meeting held 5-7 June 2017, Ottawa, Ontario, Canada. Institute of Electrical and Electronics Engineers (IEEE), 2018. pp. 3-10

Bibtex

@inproceedings{74903df91c10438c8a057a4ccad936ac,
title = "Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks",
abstract = "The upcoming Internet of Things (IoT) applications include real-time human activity monitoring with wearable sensors. Compared to the traditional environmental sensing with low-power wireless nodes, these new applications generate a constant stream of a much higher rate. Nevertheless, the wearable devices remain battery powered and therefore restricted to low-power wireless standards such as IEEE 802.15.4 or Bluetooth Low Energy (BLE). Our work tackles the problem of building a reliable autonomous schedule for forwarding this kind of dynamic data in IEEE 802.15.4 TSCH networks. Due to the a priori unpredictability of these data source locations, the quality of the wireless links, and the routing topology of the forwarding network, it is wasteful to reserve the number of slots required for the worst-case scenario, under conditions of high expected datarate, it is downright impossible. The solution we propose is a hybrid approach where dedicated TSCH cells and shared TSCH slots coexist in the same schedule. We show that under realistic assumptions of wireless link diversity, adding shared slots to a TSCH schedule increases the overall packet delivery rate and the fairness of the system.",
keywords = "Time slotted channel hopping, scheduling, Internet of Things, Digital Health",
author = "Atis Elsts and Xenofon Fafoutis and James Pope and George Oikonomou and Robert Piechocki and Ian Craddock",
year = "2018",
month = "4",
doi = "10.1109/DCOSS.2017.20",
language = "English",
isbn = "9781538639924",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "3--10",
booktitle = "2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS 2017)",
address = "United States",

}

RIS - suitable for import to EndNote

TY - GEN

T1 - Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks

AU - Elsts, Atis

AU - Fafoutis, Xenofon

AU - Pope, James

AU - Oikonomou, George

AU - Piechocki, Robert

AU - Craddock, Ian

PY - 2018/4

Y1 - 2018/4

N2 - The upcoming Internet of Things (IoT) applications include real-time human activity monitoring with wearable sensors. Compared to the traditional environmental sensing with low-power wireless nodes, these new applications generate a constant stream of a much higher rate. Nevertheless, the wearable devices remain battery powered and therefore restricted to low-power wireless standards such as IEEE 802.15.4 or Bluetooth Low Energy (BLE). Our work tackles the problem of building a reliable autonomous schedule for forwarding this kind of dynamic data in IEEE 802.15.4 TSCH networks. Due to the a priori unpredictability of these data source locations, the quality of the wireless links, and the routing topology of the forwarding network, it is wasteful to reserve the number of slots required for the worst-case scenario, under conditions of high expected datarate, it is downright impossible. The solution we propose is a hybrid approach where dedicated TSCH cells and shared TSCH slots coexist in the same schedule. We show that under realistic assumptions of wireless link diversity, adding shared slots to a TSCH schedule increases the overall packet delivery rate and the fairness of the system.

AB - The upcoming Internet of Things (IoT) applications include real-time human activity monitoring with wearable sensors. Compared to the traditional environmental sensing with low-power wireless nodes, these new applications generate a constant stream of a much higher rate. Nevertheless, the wearable devices remain battery powered and therefore restricted to low-power wireless standards such as IEEE 802.15.4 or Bluetooth Low Energy (BLE). Our work tackles the problem of building a reliable autonomous schedule for forwarding this kind of dynamic data in IEEE 802.15.4 TSCH networks. Due to the a priori unpredictability of these data source locations, the quality of the wireless links, and the routing topology of the forwarding network, it is wasteful to reserve the number of slots required for the worst-case scenario, under conditions of high expected datarate, it is downright impossible. The solution we propose is a hybrid approach where dedicated TSCH cells and shared TSCH slots coexist in the same schedule. We show that under realistic assumptions of wireless link diversity, adding shared slots to a TSCH schedule increases the overall packet delivery rate and the fairness of the system.

KW - Time slotted channel hopping

KW - scheduling

KW - Internet of Things

KW - Digital Health

UR - http://www.scopus.com/inward/record.url?scp=85034048077&partnerID=8YFLogxK

U2 - 10.1109/DCOSS.2017.20

DO - 10.1109/DCOSS.2017.20

M3 - Conference contribution

SN - 9781538639924

SP - 3

EP - 10

BT - 2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS 2017)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -