Lifetime analysis of wireless sensor networks under retransmission

Ruiying Li; Guangli Sun; Haitao Liao; Ning Huang

doi:10.1109/RAMS.2014.6798519

Lifetime analysis of wireless sensor networks under retransmission

Ruiying Li, Guangli Sun, Haitao Liao, Ning Huang

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

3 Scopus citations

Abstract

Wireless sensor networks (WSN) are widely used for environmental monitoring, healthcare, and surveillance. Their lifetime is strongly affected by energy consumption, which is partly attributed to retransmission. However, retransmission problems have not been well studied in the area of deployment optimization considering lifetime for WSN. In this paper, important models for lifetime, sensor failure, energy consumption, sleep/wakeup, routing and retransmission in WSN, along with a discrete event simulation procedure, are developed to aid in the analysis of WSN lifetime. Cases for linear and circular WSN are used to illustrate the importance of considering retransmission in WSN lifetime estimation.

Original language	English (US)
Title of host publication	RAMS 2014 - Proceedings 2014
Subtitle of host publication	The 60th Annual Reliability and Maintainability Symposium
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781479928477
DOIs	https://doi.org/10.1109/RAMS.2014.6798519
State	Published - 2014
Externally published	Yes
Event	60th Annual Reliability and Maintainability Symposium, RAMS 2014 - Colorado Springs, CO, United States Duration: Jan 27 2014 → Jan 30 2014

Publication series

Name	Proceedings - Annual Reliability and Maintainability Symposium
ISSN (Print)	0149-144X

Other

Other	60th Annual Reliability and Maintainability Symposium, RAMS 2014
Country/Territory	United States
City	Colorado Springs, CO
Period	1/27/14 → 1/30/14

Keywords

energy
lifetime
node deployment
retransmission
wireless sensor networks

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality
General Mathematics
Computer Science Applications

Access to Document

10.1109/RAMS.2014.6798519

Cite this

Li, R., Sun, G., Liao, H., & Huang, N. (2014). Lifetime analysis of wireless sensor networks under retransmission. In RAMS 2014 - Proceedings 2014: The 60th Annual Reliability and Maintainability Symposium Article 6798519 (Proceedings - Annual Reliability and Maintainability Symposium). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAMS.2014.6798519

Lifetime analysis of wireless sensor networks under retransmission. / Li, Ruiying; Sun, Guangli; Liao, Haitao et al.
RAMS 2014 - Proceedings 2014: The 60th Annual Reliability and Maintainability Symposium. Institute of Electrical and Electronics Engineers Inc., 2014. 6798519 (Proceedings - Annual Reliability and Maintainability Symposium).

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

Li, R, Sun, G, Liao, H & Huang, N 2014, Lifetime analysis of wireless sensor networks under retransmission. in RAMS 2014 - Proceedings 2014: The 60th Annual Reliability and Maintainability Symposium., 6798519, Proceedings - Annual Reliability and Maintainability Symposium, Institute of Electrical and Electronics Engineers Inc., 60th Annual Reliability and Maintainability Symposium, RAMS 2014, Colorado Springs, CO, United States, 1/27/14. https://doi.org/10.1109/RAMS.2014.6798519

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title = "Lifetime analysis of wireless sensor networks under retransmission",

abstract = "Wireless sensor networks (WSN) are widely used for environmental monitoring, healthcare, and surveillance. Their lifetime is strongly affected by energy consumption, which is partly attributed to retransmission. However, retransmission problems have not been well studied in the area of deployment optimization considering lifetime for WSN. In this paper, important models for lifetime, sensor failure, energy consumption, sleep/wakeup, routing and retransmission in WSN, along with a discrete event simulation procedure, are developed to aid in the analysis of WSN lifetime. Cases for linear and circular WSN are used to illustrate the importance of considering retransmission in WSN lifetime estimation.",

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author = "Ruiying Li and Guangli Sun and Haitao Liao and Ning Huang",

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doi = "10.1109/RAMS.2014.6798519",

language = "English (US)",

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series = "Proceedings - Annual Reliability and Maintainability Symposium",

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AU - Li, Ruiying

AU - Sun, Guangli

AU - Liao, Haitao

AU - Huang, Ning

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N2 - Wireless sensor networks (WSN) are widely used for environmental monitoring, healthcare, and surveillance. Their lifetime is strongly affected by energy consumption, which is partly attributed to retransmission. However, retransmission problems have not been well studied in the area of deployment optimization considering lifetime for WSN. In this paper, important models for lifetime, sensor failure, energy consumption, sleep/wakeup, routing and retransmission in WSN, along with a discrete event simulation procedure, are developed to aid in the analysis of WSN lifetime. Cases for linear and circular WSN are used to illustrate the importance of considering retransmission in WSN lifetime estimation.

AB - Wireless sensor networks (WSN) are widely used for environmental monitoring, healthcare, and surveillance. Their lifetime is strongly affected by energy consumption, which is partly attributed to retransmission. However, retransmission problems have not been well studied in the area of deployment optimization considering lifetime for WSN. In this paper, important models for lifetime, sensor failure, energy consumption, sleep/wakeup, routing and retransmission in WSN, along with a discrete event simulation procedure, are developed to aid in the analysis of WSN lifetime. Cases for linear and circular WSN are used to illustrate the importance of considering retransmission in WSN lifetime estimation.

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KW - lifetime

KW - node deployment

KW - retransmission

KW - wireless sensor networks

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ER -

Lifetime analysis of wireless sensor networks under retransmission

Abstract

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Keywords

ASJC Scopus subject areas

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