An evolutionary game theoretic approach for configuring cloud-integrated body sensor networks

Yi Cheng Ren; Junichi Suzuki; Dung H. Phan; Shingo Omura; Ryuichi Hosoya

doi:10.1109/NCA.2014.47

An evolutionary game theoretic approach for configuring cloud-integrated body sensor networks

Yi Cheng Ren
, Junichi Suzuki
, Dung H. Phan
, Shingo Omura
, Ryuichi Hosoya

Computer Science

University of Massachusetts Boston
OGIS International, Inc.

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

Abstract

This paper considers a cloud-integrated architecture for body sensor networks (BSNs), called Body-in-the-Cloud (BitC), and studies an evolutionary game theoretic approach to configure BSNs in an adaptive and stable manner. BitC allows BSNs to adapt their configurations (i.e., Sensing intervals and sampling rates as well as data transmission intervals for nodes) to operational conditions (e.g., Data request patterns) with respect to multiple conflicting objectives such as resource consumption and data yield. Moreover, BitC allows each BSN to perform an evolutionarily stable configuration strategy, which is an equilibrium solution under given operational conditions. Simulation results show that BitC effectively configures BSNs by seeking the trade-offs among conflicting objectives.

Original language	English
Title of host publication	Proceedings - 2014 IEEE 13th International Symposium on Network Computing and Applications, NCA 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	277-281
Number of pages	5
ISBN (Electronic)	9781479953936
DOIs	https://doi.org/10.1109/NCA.2014.47
State	Published - Oct 14 2014
Event	2014 13th IEEE International Symposium on Network Computing and Applications, NCA 2014 - Cambridge, United States Duration: Aug 21 2014 → Aug 23 2014

Publication series

Name	Proceedings - 2014 IEEE 13th International Symposium on Network Computing and Applications, NCA 2014

Conference

Conference	2014 13th IEEE International Symposium on Network Computing and Applications, NCA 2014
Country/Territory	United States
City	Cambridge
Period	8/21/14 → 8/23/14

ASJC Scopus Subject Areas

Computer Science Applications
Computer Networks and Communications

Keywords

Cloud computing
evolutionary game theory
virtual machine placement

Access to Document

10.1109/NCA.2014.47

Cite this

Ren, Y. C., Suzuki, J., Phan, D. H., Omura, S., & Hosoya, R. (2014). An evolutionary game theoretic approach for configuring cloud-integrated body sensor networks. In Proceedings - 2014 IEEE 13th International Symposium on Network Computing and Applications, NCA 2014 (pp. 277-281). Article 6924238 (Proceedings - 2014 IEEE 13th International Symposium on Network Computing and Applications, NCA 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NCA.2014.47

An evolutionary game theoretic approach for configuring cloud-integrated body sensor networks. / Ren, Yi Cheng; Suzuki, Junichi; Phan, Dung H. et al.
Proceedings - 2014 IEEE 13th International Symposium on Network Computing and Applications, NCA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 277-281 6924238 (Proceedings - 2014 IEEE 13th International Symposium on Network Computing and Applications, NCA 2014).

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

Ren, YC, Suzuki, J, Phan, DH, Omura, S & Hosoya, R 2014, An evolutionary game theoretic approach for configuring cloud-integrated body sensor networks. in Proceedings - 2014 IEEE 13th International Symposium on Network Computing and Applications, NCA 2014., 6924238, Proceedings - 2014 IEEE 13th International Symposium on Network Computing and Applications, NCA 2014, Institute of Electrical and Electronics Engineers Inc., pp. 277-281, 2014 13th IEEE International Symposium on Network Computing and Applications, NCA 2014, Cambridge, United States, 8/21/14. https://doi.org/10.1109/NCA.2014.47

Ren YC, Suzuki J, Phan DH, Omura S, Hosoya R. An evolutionary game theoretic approach for configuring cloud-integrated body sensor networks. In Proceedings - 2014 IEEE 13th International Symposium on Network Computing and Applications, NCA 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 277-281. 6924238. (Proceedings - 2014 IEEE 13th International Symposium on Network Computing and Applications, NCA 2014). doi: 10.1109/NCA.2014.47

Ren, Yi Cheng ; Suzuki, Junichi ; Phan, Dung H. et al. / An evolutionary game theoretic approach for configuring cloud-integrated body sensor networks. Proceedings - 2014 IEEE 13th International Symposium on Network Computing and Applications, NCA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 277-281 (Proceedings - 2014 IEEE 13th International Symposium on Network Computing and Applications, NCA 2014).

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abstract = "This paper considers a cloud-integrated architecture for body sensor networks (BSNs), called Body-in-the-Cloud (BitC), and studies an evolutionary game theoretic approach to configure BSNs in an adaptive and stable manner. BitC allows BSNs to adapt their configurations (i.e., Sensing intervals and sampling rates as well as data transmission intervals for nodes) to operational conditions (e.g., Data request patterns) with respect to multiple conflicting objectives such as resource consumption and data yield. Moreover, BitC allows each BSN to perform an evolutionarily stable configuration strategy, which is an equilibrium solution under given operational conditions. Simulation results show that BitC effectively configures BSNs by seeking the trade-offs among conflicting objectives.",

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An evolutionary game theoretic approach for configuring cloud-integrated body sensor networks

Abstract

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ASJC Scopus Subject Areas

Keywords

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