Regression analysis for energy and lifetime prediction in large wireless sensor networks

Foudil Mir; Ahcène Bounceur; Farid Meziane

doi:10.1109/INDS.2014.8

Regression analysis for energy and lifetime prediction in large wireless sensor networks

Foudil Mir, Ahcène Bounceur, Farid Meziane

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

9 Scopus citations

Abstract

Wireless communication technologies are used to collect information from sensitive, hostile and inaccessible environments. They are used in both military and civil applications that include environmental, medical, military and industrial fields. Routing data to a processing center or a base station requires mechanisms for energy conservation at the end of the prolonged lifetime of the network. The simulation in this case is very constrained by the high density of the network. Existing tools cannot simulate large networks with millions of sensors. In this paper, we propose a new method using statistical regression analysis in order to predict the energy consumption and the lifetime of a wireless sensor network with hundreds or thousands of sensors by simulating smaller networks. We have validated the proposed method using a Revised LEACH protocol. Indeed, this method can be used for other protocols and other kind of simulations with the purpose of evaluating a specific parameter.

Original language	English
Title of host publication	Proceedings - 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781479951789
DOIs	https://doi.org/10.1109/INDS.2014.8
State	Published - 26 Nov 2014
Externally published	Yes
Event	2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014 - Bejaia, Algeria Duration: 17 Jun 2014 → 19 Jun 2014

Publication series

Name	Proceedings - 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014

Conference

Conference	2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014
Country/Territory	Algeria
City	Bejaia
Period	17/06/14 → 19/06/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

LEACH
Revised LEACH
Wireless sensor networks
energy prediction
life time prediction
performance evaluation
regression
simulation

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Information Systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/INDS.2014.8

Cite this

Mir, F., Bounceur, A., & Meziane, F. (2014). Regression analysis for energy and lifetime prediction in large wireless sensor networks. In Proceedings - 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014 (pp. 1-6). Article 6969048 (Proceedings - 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INDS.2014.8

Mir, Foudil ; Bounceur, Ahcène ; Meziane, Farid. / Regression analysis for energy and lifetime prediction in large wireless sensor networks. Proceedings - 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 1-6 (Proceedings - 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014).

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abstract = "Wireless communication technologies are used to collect information from sensitive, hostile and inaccessible environments. They are used in both military and civil applications that include environmental, medical, military and industrial fields. Routing data to a processing center or a base station requires mechanisms for energy conservation at the end of the prolonged lifetime of the network. The simulation in this case is very constrained by the high density of the network. Existing tools cannot simulate large networks with millions of sensors. In this paper, we propose a new method using statistical regression analysis in order to predict the energy consumption and the lifetime of a wireless sensor network with hundreds or thousands of sensors by simulating smaller networks. We have validated the proposed method using a Revised LEACH protocol. Indeed, this method can be used for other protocols and other kind of simulations with the purpose of evaluating a specific parameter.",

keywords = "LEACH, Revised LEACH, Wireless sensor networks, energy prediction, life time prediction, performance evaluation, regression, simulation",

author = "Foudil Mir and Ahc{\`e}ne Bounceur and Farid Meziane",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014 ; Conference date: 17-06-2014 Through 19-06-2014",

year = "2014",

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series = "Proceedings - 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014",

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Mir, F, Bounceur, A & Meziane, F 2014, Regression analysis for energy and lifetime prediction in large wireless sensor networks. in Proceedings - 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014., 6969048, Proceedings - 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014, Bejaia, Algeria, 17/06/14. https://doi.org/10.1109/INDS.2014.8

Regression analysis for energy and lifetime prediction in large wireless sensor networks. / Mir, Foudil; Bounceur, Ahcène; Meziane, Farid.
Proceedings - 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1-6 6969048 (Proceedings - 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014).

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

TY - GEN

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AU - Mir, Foudil

AU - Bounceur, Ahcène

AU - Meziane, Farid

PY - 2014/11/26

Y1 - 2014/11/26

N2 - Wireless communication technologies are used to collect information from sensitive, hostile and inaccessible environments. They are used in both military and civil applications that include environmental, medical, military and industrial fields. Routing data to a processing center or a base station requires mechanisms for energy conservation at the end of the prolonged lifetime of the network. The simulation in this case is very constrained by the high density of the network. Existing tools cannot simulate large networks with millions of sensors. In this paper, we propose a new method using statistical regression analysis in order to predict the energy consumption and the lifetime of a wireless sensor network with hundreds or thousands of sensors by simulating smaller networks. We have validated the proposed method using a Revised LEACH protocol. Indeed, this method can be used for other protocols and other kind of simulations with the purpose of evaluating a specific parameter.

AB - Wireless communication technologies are used to collect information from sensitive, hostile and inaccessible environments. They are used in both military and civil applications that include environmental, medical, military and industrial fields. Routing data to a processing center or a base station requires mechanisms for energy conservation at the end of the prolonged lifetime of the network. The simulation in this case is very constrained by the high density of the network. Existing tools cannot simulate large networks with millions of sensors. In this paper, we propose a new method using statistical regression analysis in order to predict the energy consumption and the lifetime of a wireless sensor network with hundreds or thousands of sensors by simulating smaller networks. We have validated the proposed method using a Revised LEACH protocol. Indeed, this method can be used for other protocols and other kind of simulations with the purpose of evaluating a specific parameter.

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Mir F, Bounceur A, Meziane F. Regression analysis for energy and lifetime prediction in large wireless sensor networks. In Proceedings - 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 1-6. 6969048. (Proceedings - 2014 International Conference on Advanced Networking Distributed Systems and Applications, INDS 2014). doi: 10.1109/INDS.2014.8

Regression analysis for energy and lifetime prediction in large wireless sensor networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this