Cross-layer based rate control for lifetime maximization in wireless sensor networks

Xiaoyan Yin; Xingshe Zhou; Zhigang Li; Shining Li

doi:10.1007/978-3-642-13067-0_18

Cross-layer based rate control for lifetime maximization in wireless sensor networks

Xiaoyan Yin, Xingshe Zhou, Zhigang Li, Shining Li

School of Computer Science

Northwestern Polytechnical University Xian

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

2 Scopus citations

Abstract

In wireless sensor networks (WSNs), lifetime maximization is a critical issue because of the restricted power supply. Therefore, the objective of lifetime maximization is to save energy for each sensor node. However, the application performance depends strongly on the amount of data gathered from each source node in the network. Higher data rates causes greater sensing and communication costs resulting in a reduction of the overall network lifetime. There is thus an inherent trade-off in maximizing the network lifetime and the application performance. In this paper, we take both application performance and lifetime maximization into account, use a cross layer optimization framework and propose a distributed rate control algorithm. Our numerical result shows that our scheme can maximize the network lifetime and guarantee the application performance.

Original language	English
Title of host publication	Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings
Pages	140-149
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-13067-0_18
State	Published - 2010
Event	5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010 - Hualien, Taiwan, Province of China Duration: 10 May 2010 → 13 May 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6104 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010
Country/Territory	Taiwan, Province of China
City	Hualien
Period	10/05/10 → 13/05/10

Keywords

Cross-layer
Lifetime and rate control
Wireless sensor networks

Access to Document

10.1007/978-3-642-13067-0_18

Cite this

Yin, X., Zhou, X., Li, Z., & Li, S. (2010). Cross-layer based rate control for lifetime maximization in wireless sensor networks. In Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings (pp. 140-149). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6104 LNCS). https://doi.org/10.1007/978-3-642-13067-0_18

Yin, Xiaoyan ; Zhou, Xingshe ; Li, Zhigang et al. / Cross-layer based rate control for lifetime maximization in wireless sensor networks. Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings. 2010. pp. 140-149 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In wireless sensor networks (WSNs), lifetime maximization is a critical issue because of the restricted power supply. Therefore, the objective of lifetime maximization is to save energy for each sensor node. However, the application performance depends strongly on the amount of data gathered from each source node in the network. Higher data rates causes greater sensing and communication costs resulting in a reduction of the overall network lifetime. There is thus an inherent trade-off in maximizing the network lifetime and the application performance. In this paper, we take both application performance and lifetime maximization into account, use a cross layer optimization framework and propose a distributed rate control algorithm. Our numerical result shows that our scheme can maximize the network lifetime and guarantee the application performance.",

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author = "Xiaoyan Yin and Xingshe Zhou and Zhigang Li and Shining Li",

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Yin, X, Zhou, X, Li, Z & Li, S 2010, Cross-layer based rate control for lifetime maximization in wireless sensor networks. in Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6104 LNCS, pp. 140-149, 5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010, Hualien, Taiwan, Province of China, 10/05/10. https://doi.org/10.1007/978-3-642-13067-0_18

Cross-layer based rate control for lifetime maximization in wireless sensor networks. / Yin, Xiaoyan; Zhou, Xingshe; Li, Zhigang et al.
Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings. 2010. p. 140-149 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6104 LNCS).

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

TY - GEN

T1 - Cross-layer based rate control for lifetime maximization in wireless sensor networks

AU - Yin, Xiaoyan

AU - Zhou, Xingshe

AU - Li, Zhigang

AU - Li, Shining

PY - 2010

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N2 - In wireless sensor networks (WSNs), lifetime maximization is a critical issue because of the restricted power supply. Therefore, the objective of lifetime maximization is to save energy for each sensor node. However, the application performance depends strongly on the amount of data gathered from each source node in the network. Higher data rates causes greater sensing and communication costs resulting in a reduction of the overall network lifetime. There is thus an inherent trade-off in maximizing the network lifetime and the application performance. In this paper, we take both application performance and lifetime maximization into account, use a cross layer optimization framework and propose a distributed rate control algorithm. Our numerical result shows that our scheme can maximize the network lifetime and guarantee the application performance.

AB - In wireless sensor networks (WSNs), lifetime maximization is a critical issue because of the restricted power supply. Therefore, the objective of lifetime maximization is to save energy for each sensor node. However, the application performance depends strongly on the amount of data gathered from each source node in the network. Higher data rates causes greater sensing and communication costs resulting in a reduction of the overall network lifetime. There is thus an inherent trade-off in maximizing the network lifetime and the application performance. In this paper, we take both application performance and lifetime maximization into account, use a cross layer optimization framework and propose a distributed rate control algorithm. Our numerical result shows that our scheme can maximize the network lifetime and guarantee the application performance.

KW - Cross-layer

KW - Lifetime and rate control

KW - Wireless sensor networks

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Yin X, Zhou X, Li Z, Li S. Cross-layer based rate control for lifetime maximization in wireless sensor networks. In Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings. 2010. p. 140-149. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-13067-0_18

Cross-layer based rate control for lifetime maximization in wireless sensor networks

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