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Time-Critical Data Delivery in Wireless Sensor Networks

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Time-Critical Data Delivery in Wireless Sensor Networks. / Suriyachai, Petcharat; Brown, James; Roedig, Utz.
Proceedings of the 6th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2010). ed. / Rajmohan Rajaraman ; Thomas Moscibroda ; Adam Dunkels; Anna Scaglione. Berlin: Springer, 2010. p. 216-229.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Suriyachai, P, Brown, J & Roedig, U 2010, Time-Critical Data Delivery in Wireless Sensor Networks. in R Rajaraman , T Moscibroda , A Dunkels & A Scaglione (eds), Proceedings of the 6th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2010). Springer, Berlin, pp. 216-229, Proceedings of the International Conference on Distributed Computing in Sensor Systems (DCOSS10), Santa Barbara, USA, 1/01/00. https://doi.org/10.1007/978-3-642-13651-1_16

APA

Suriyachai, P., Brown, J., & Roedig, U. (2010). Time-Critical Data Delivery in Wireless Sensor Networks. In R. Rajaraman , T. Moscibroda , A. Dunkels, & A. Scaglione (Eds.), Proceedings of the 6th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2010) (pp. 216-229). Springer. https://doi.org/10.1007/978-3-642-13651-1_16

Vancouver

Suriyachai P, Brown J, Roedig U. Time-Critical Data Delivery in Wireless Sensor Networks. In Rajaraman R, Moscibroda T, Dunkels A, Scaglione A, editors, Proceedings of the 6th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2010). Berlin: Springer. 2010. p. 216-229 doi: 10.1007/978-3-642-13651-1_16

Author

Suriyachai, Petcharat ; Brown, James ; Roedig, Utz. / Time-Critical Data Delivery in Wireless Sensor Networks. Proceedings of the 6th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2010). editor / Rajmohan Rajaraman ; Thomas Moscibroda ; Adam Dunkels ; Anna Scaglione. Berlin : Springer, 2010. pp. 216-229

Bibtex

@inproceedings{fc7bdefbac1e476fb205cf30c00863d1,
title = "Time-Critical Data Delivery in Wireless Sensor Networks",
abstract = "A number of wireless sensor network (WSN) applications demand timely data delivery. However, existing WSNs are designed to conserve energy and not to support timely data transmission. This paper shows how WSNs can be dimensioned, deployed and operated such that both reliable and timely data delivery is ensured while scarce energy is preserved. The presented solution employs a novel Medium Access Control (MAC) protocol that incorporates topology control mechanisms to ensure timely data delivery and reliability control mechanisms to deal with inherently fluctuating wireless links. An industrial process automation and control scenario at an oil refinery in Portugal is used to define protocol requirements. The paper details a TinyOS implementation of the protocol and its evaluation in a testbed. Under high traffic load, the protocol delivers 100% of data in time using a maximum node duty cycle as little as 2.48%. In an idle network a maximum node duty cycle of only 0.62% is achieved. This proposed protocol is thus an extremely energy efficient solution for time-critical data delivery.",
author = "Petcharat Suriyachai and James Brown and Utz Roedig",
year = "2010",
month = jun,
doi = "10.1007/978-3-642-13651-1_16",
language = "English",
isbn = "978-3-642-13650-4",
pages = "216--229",
editor = "{Rajaraman }, Rajmohan and {Moscibroda }, {Thomas } and Adam Dunkels and Anna Scaglione",
booktitle = "Proceedings of the 6th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2010)",
publisher = "Springer",
note = "Proceedings of the International Conference on Distributed Computing in Sensor Systems (DCOSS10), Santa Barbara, USA ; Conference date: 01-01-1900",

}

RIS

TY - GEN

T1 - Time-Critical Data Delivery in Wireless Sensor Networks

AU - Suriyachai, Petcharat

AU - Brown, James

AU - Roedig, Utz

PY - 2010/6

Y1 - 2010/6

N2 - A number of wireless sensor network (WSN) applications demand timely data delivery. However, existing WSNs are designed to conserve energy and not to support timely data transmission. This paper shows how WSNs can be dimensioned, deployed and operated such that both reliable and timely data delivery is ensured while scarce energy is preserved. The presented solution employs a novel Medium Access Control (MAC) protocol that incorporates topology control mechanisms to ensure timely data delivery and reliability control mechanisms to deal with inherently fluctuating wireless links. An industrial process automation and control scenario at an oil refinery in Portugal is used to define protocol requirements. The paper details a TinyOS implementation of the protocol and its evaluation in a testbed. Under high traffic load, the protocol delivers 100% of data in time using a maximum node duty cycle as little as 2.48%. In an idle network a maximum node duty cycle of only 0.62% is achieved. This proposed protocol is thus an extremely energy efficient solution for time-critical data delivery.

AB - A number of wireless sensor network (WSN) applications demand timely data delivery. However, existing WSNs are designed to conserve energy and not to support timely data transmission. This paper shows how WSNs can be dimensioned, deployed and operated such that both reliable and timely data delivery is ensured while scarce energy is preserved. The presented solution employs a novel Medium Access Control (MAC) protocol that incorporates topology control mechanisms to ensure timely data delivery and reliability control mechanisms to deal with inherently fluctuating wireless links. An industrial process automation and control scenario at an oil refinery in Portugal is used to define protocol requirements. The paper details a TinyOS implementation of the protocol and its evaluation in a testbed. Under high traffic load, the protocol delivers 100% of data in time using a maximum node duty cycle as little as 2.48%. In an idle network a maximum node duty cycle of only 0.62% is achieved. This proposed protocol is thus an extremely energy efficient solution for time-critical data delivery.

UR - http://www.scopus.com/inward/record.url?scp=77955353638&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-13651-1_16

DO - 10.1007/978-3-642-13651-1_16

M3 - Conference contribution/Paper

SN - 978-3-642-13650-4

SP - 216

EP - 229

BT - Proceedings of the 6th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2010)

A2 - Rajaraman , Rajmohan

A2 - Moscibroda , Thomas

A2 - Dunkels, Adam

A2 - Scaglione, Anna

PB - Springer

CY - Berlin

T2 - Proceedings of the International Conference on Distributed Computing in Sensor Systems (DCOSS10), Santa Barbara, USA

Y2 - 1 January 1900

ER -