A Novel Feature Selection Scheme for Energy Efficient Wireless Sensor Networks

Moh'D Alwadi, Girija Chetty

Research output: A Conference proceeding or a Chapter in BookConference contribution

3 Citations (Scopus)

Abstract

Energy efficiency is a key issue in wireless sensor networks where the energy sources and battery capacity are very limited. In this paper we propose a novel pattern recognition based formulation for minimizing the energy consumption in wireless sensor networks. The proposed scheme involves an algorithm to rank and select the sensors from the most significant to the least, and followed by a naïve Bayes classification. Assuming that each feature represents a sensor in the wireless sensor network, various data sets with multiple features are considered to show that feature ranking and selection could play a key role for the energy management. We have examined Isolet, forest fires and ionosphere datasets from the UCI repository to emulate the wireless sensor network scenario. From our simulation results, we show that it is possible to achieve two important objectives using the proposed scheme: (1) Increase the lifetime of the wireless sensor network, by using optimal number of sensors, and (2) Manage sensor failures with optimal number of sensors without compromising the accuracy
Original languageEnglish
Title of host publication12th International Conference on Algorithms and Architectures for Para, ICA3PP 2012
EditorsYang Xiang, Ivan Stojmenovic, Bernady O Apduhan, Guojun Wang, Koji Nakano, Albert Zomaya
Place of PublicationBerlin Heidelberg
PublisherSpringer
Pages264-273
Number of pages10
Volume7440
ISBN (Print)9783642330653
DOIs
Publication statusPublished - 2012
Event12th International Conference on Algorithms and Architectures for Parallel Processing ICA3PP 2012: ICA3PP 2012 - Fukuoka, Fukuoka, Japan
Duration: 4 Sep 20127 Sep 2012
http://nsclab.org/ica3pp12/

Conference

Conference12th International Conference on Algorithms and Architectures for Parallel Processing ICA3PP 2012
Abbreviated titleICA3PP 2012
CountryJapan
CityFukuoka
Period4/09/127/09/12
OtherICA3PP 2012 is the 12th in this series of conferences started in 1995 that are devoted to algorithms and architectures for parallel processing. ICA3PP is now recognized as the main regular event of the world that is covering the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems. As applications of computing systems have permeated in every aspects of daily life, the power of computing system has become increasingly critical. This conference provides a forum for countries around the world to exchange ideas for improving the computation power of computing systems.
Following the traditions of the previous successful ICA3PP conferences held in Hangzhou, Brisbane, Singapore, Melbourne, Hong Kong, Beijing, Cyprus, Taipei, Busan, and Melbourne, ICA3PP 2012 will be held in Fukuoka, Japan. The objective of ICA3PP 2012 is to bring together researchers and practitioners from academia, industry and governments to advance the theories and technologies in parallel and distributed computing. ICA3PP 2012 will focus on two broad areas of parallel and distributed computing, i.e., architectures, algorithms and networks, and systems and applications. The conference of ICA3PP 2012 will be organized by Kyushu Sangyo University, Japan
Internet address

Fingerprint

Feature extraction
Wireless sensor networks
Sensors
Ionosphere
Energy management
Pattern recognition
Energy efficiency
Fires
Energy utilization

Cite this

Alwadi, MD., & Chetty, G. (2012). A Novel Feature Selection Scheme for Energy Efficient Wireless Sensor Networks. In Y. Xiang, I. Stojmenovic, B. O. Apduhan, G. Wang, K. Nakano, & A. Zomaya (Eds.), 12th International Conference on Algorithms and Architectures for Para, ICA3PP 2012 (Vol. 7440, pp. 264-273). Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-642-33065-0_28
Alwadi, Moh'D ; Chetty, Girija. / A Novel Feature Selection Scheme for Energy Efficient Wireless Sensor Networks. 12th International Conference on Algorithms and Architectures for Para, ICA3PP 2012. editor / Yang Xiang ; Ivan Stojmenovic ; Bernady O Apduhan ; Guojun Wang ; Koji Nakano ; Albert Zomaya. Vol. 7440 Berlin Heidelberg : Springer, 2012. pp. 264-273
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title = "A Novel Feature Selection Scheme for Energy Efficient Wireless Sensor Networks",
abstract = "Energy efficiency is a key issue in wireless sensor networks where the energy sources and battery capacity are very limited. In this paper we propose a novel pattern recognition based formulation for minimizing the energy consumption in wireless sensor networks. The proposed scheme involves an algorithm to rank and select the sensors from the most significant to the least, and followed by a na{\"i}ve Bayes classification. Assuming that each feature represents a sensor in the wireless sensor network, various data sets with multiple features are considered to show that feature ranking and selection could play a key role for the energy management. We have examined Isolet, forest fires and ionosphere datasets from the UCI repository to emulate the wireless sensor network scenario. From our simulation results, we show that it is possible to achieve two important objectives using the proposed scheme: (1) Increase the lifetime of the wireless sensor network, by using optimal number of sensors, and (2) Manage sensor failures with optimal number of sensors without compromising the accuracy",
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Alwadi, MD & Chetty, G 2012, A Novel Feature Selection Scheme for Energy Efficient Wireless Sensor Networks. in Y Xiang, I Stojmenovic, BO Apduhan, G Wang, K Nakano & A Zomaya (eds), 12th International Conference on Algorithms and Architectures for Para, ICA3PP 2012. vol. 7440, Springer, Berlin Heidelberg, pp. 264-273, 12th International Conference on Algorithms and Architectures for Parallel Processing ICA3PP 2012, Fukuoka, Japan, 4/09/12. https://doi.org/10.1007/978-3-642-33065-0_28

A Novel Feature Selection Scheme for Energy Efficient Wireless Sensor Networks. / Alwadi, Moh'D; Chetty, Girija.

12th International Conference on Algorithms and Architectures for Para, ICA3PP 2012. ed. / Yang Xiang; Ivan Stojmenovic; Bernady O Apduhan; Guojun Wang; Koji Nakano; Albert Zomaya. Vol. 7440 Berlin Heidelberg : Springer, 2012. p. 264-273.

Research output: A Conference proceeding or a Chapter in BookConference contribution

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AU - Chetty, Girija

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N2 - Energy efficiency is a key issue in wireless sensor networks where the energy sources and battery capacity are very limited. In this paper we propose a novel pattern recognition based formulation for minimizing the energy consumption in wireless sensor networks. The proposed scheme involves an algorithm to rank and select the sensors from the most significant to the least, and followed by a naïve Bayes classification. Assuming that each feature represents a sensor in the wireless sensor network, various data sets with multiple features are considered to show that feature ranking and selection could play a key role for the energy management. We have examined Isolet, forest fires and ionosphere datasets from the UCI repository to emulate the wireless sensor network scenario. From our simulation results, we show that it is possible to achieve two important objectives using the proposed scheme: (1) Increase the lifetime of the wireless sensor network, by using optimal number of sensors, and (2) Manage sensor failures with optimal number of sensors without compromising the accuracy

AB - Energy efficiency is a key issue in wireless sensor networks where the energy sources and battery capacity are very limited. In this paper we propose a novel pattern recognition based formulation for minimizing the energy consumption in wireless sensor networks. The proposed scheme involves an algorithm to rank and select the sensors from the most significant to the least, and followed by a naïve Bayes classification. Assuming that each feature represents a sensor in the wireless sensor network, various data sets with multiple features are considered to show that feature ranking and selection could play a key role for the energy management. We have examined Isolet, forest fires and ionosphere datasets from the UCI repository to emulate the wireless sensor network scenario. From our simulation results, we show that it is possible to achieve two important objectives using the proposed scheme: (1) Increase the lifetime of the wireless sensor network, by using optimal number of sensors, and (2) Manage sensor failures with optimal number of sensors without compromising the accuracy

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Alwadi MD, Chetty G. A Novel Feature Selection Scheme for Energy Efficient Wireless Sensor Networks. In Xiang Y, Stojmenovic I, Apduhan BO, Wang G, Nakano K, Zomaya A, editors, 12th International Conference on Algorithms and Architectures for Para, ICA3PP 2012. Vol. 7440. Berlin Heidelberg: Springer. 2012. p. 264-273 https://doi.org/10.1007/978-3-642-33065-0_28