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Experimental Comparison of Radio Duty Cycling Protocols for Wireless Sensor Networks. / Uwase, Marie-Paule; Bezunartea Pascual, Maite; Tiberghien, Jacques; Dricot, Jean-Michel; Steenhaut, Kris.

In: IEEE Sensors Journal, Vol. 17, No. 19, 8008737, 11.08.2017, p. 6474-6482.

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@article{47d8392bc7194c07b45ba9490bdd897f,
title = "Experimental Comparison of Radio Duty Cycling Protocols for Wireless Sensor Networks",
abstract = "The performances of three different asynchronous radio duty cycling protocols available in the Contiki lightweight operating system have been compared experimentally in view of their adoption in medium sized wireless sensor networks integrated in the Internet of Things. This study unveils some of the subtleties of those protocols, allowing an improved tuning of their parameters, as well as the identification of overlooked shortcomings and implementation flaws. To ensure fair comparisons default options have been unified and small implementation and design problems have been tackled. Besides the previously mentioned interventions, default values for parameters were kept. The results of the comparison can help designers of wireless sensor networks with their choices and guide designers of protocols to overcome some critical issues.",
keywords = "ContikiMAC, CXMAC, experimental performance evaluation, IoT, latency, LPP, packet delivery ratio, power, radio duty cycling",
author = "Marie-Paule Uwase and {Bezunartea Pascual}, Maite and Jacques Tiberghien and Jean-Michel Dricot and Kris Steenhaut",
year = "2017",
month = "8",
day = "11",
doi = "10.1109/JSEN.2017.2738700",
language = "English",
volume = "17",
pages = "6474--6482",
journal = "IEEE Sensors Journal",
issn = "1530-437X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "19",

}

RIS

TY - JOUR

T1 - Experimental Comparison of Radio Duty Cycling Protocols for Wireless Sensor Networks

AU - Uwase, Marie-Paule

AU - Bezunartea Pascual, Maite

AU - Tiberghien, Jacques

AU - Dricot, Jean-Michel

AU - Steenhaut, Kris

PY - 2017/8/11

Y1 - 2017/8/11

N2 - The performances of three different asynchronous radio duty cycling protocols available in the Contiki lightweight operating system have been compared experimentally in view of their adoption in medium sized wireless sensor networks integrated in the Internet of Things. This study unveils some of the subtleties of those protocols, allowing an improved tuning of their parameters, as well as the identification of overlooked shortcomings and implementation flaws. To ensure fair comparisons default options have been unified and small implementation and design problems have been tackled. Besides the previously mentioned interventions, default values for parameters were kept. The results of the comparison can help designers of wireless sensor networks with their choices and guide designers of protocols to overcome some critical issues.

AB - The performances of three different asynchronous radio duty cycling protocols available in the Contiki lightweight operating system have been compared experimentally in view of their adoption in medium sized wireless sensor networks integrated in the Internet of Things. This study unveils some of the subtleties of those protocols, allowing an improved tuning of their parameters, as well as the identification of overlooked shortcomings and implementation flaws. To ensure fair comparisons default options have been unified and small implementation and design problems have been tackled. Besides the previously mentioned interventions, default values for parameters were kept. The results of the comparison can help designers of wireless sensor networks with their choices and guide designers of protocols to overcome some critical issues.

KW - ContikiMAC

KW - CXMAC

KW - experimental performance evaluation

KW - IoT

KW - latency

KW - LPP

KW - packet delivery ratio

KW - power

KW - radio duty cycling

UR - http://www.scopus.com/inward/record.url?scp=85028989397&partnerID=8YFLogxK

U2 - 10.1109/JSEN.2017.2738700

DO - 10.1109/JSEN.2017.2738700

M3 - Article

VL - 17

SP - 6474

EP - 6482

JO - IEEE Sensors Journal

JF - IEEE Sensors Journal

SN - 1530-437X

IS - 19

M1 - 8008737

ER -

ID: 32722117