Sensor selection scheme in wireless sensor networks: A new routing approach

Moh'D Alwadi; Girija CHETTY

doi:10.5121/csit.2015.51007

Sensor selection scheme in wireless sensor networks: A new routing approach

Moh'D Alwadi, Girija CHETTY

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution

Abstract

In this paper, we propose a novel energy efficient environment monitoring scheme for wireless sensor networks, based on data mining formulation. The proposed adapting routing scheme for sensors for achieving energy efficiency. The experimental validation of the proposed approach using publicly available Intel Berkeley lab Wireless Sensor Network dataset shows that it is possible to achieve energy efficient environment monitoring for wireless sensor networks, with a trade-off between accuracy and life time extension factor of sensors, using the proposed approach.

Original language	English
Title of host publication	Third International Conference of Networks and Communications
Editors	David Wyde, Natarajan Meghanathan
Place of Publication	AIRCC Digital Library
Publisher	AIRCC Publishing Corporation
Pages	73-79
Number of pages	7
Volume	5
ISBN (Print)	9781921987380
DOIs	https://doi.org/10.5121/csit.2015.51007
Publication status	Published - 2015
Event	International Conference on Wireless & Mobile Networks - Sydney, Sydney, Australia Duration: 23 May 2015 → 24 May 2015

Conference

Conference	International Conference on Wireless & Mobile Networks
Country/Territory	Australia
City	Sydney
Period	23/05/15 → 24/05/15

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10.5121/csit.2015.51007

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@inproceedings{c4eaa92f3d334771a17118a24c1588ac,

title = "Sensor selection scheme in wireless sensor networks: A new routing approach",

abstract = "In this paper, we propose a novel energy efficient environment monitoring scheme for wireless sensor networks, based on data mining formulation. The proposed adapting routing scheme for sensors for achieving energy efficiency. The experimental validation of the proposed approach using publicly available Intel Berkeley lab Wireless Sensor Network dataset shows that it is possible to achieve energy efficient environment monitoring for wireless sensor networks, with a trade-off between accuracy and life time extension factor of sensors, using the proposed approach. ",

keywords = "Machine learning, Data mining, Wireless Sensor Networks",

author = "Moh'D Alwadi and Girija CHETTY",

year = "2015",

doi = "10.5121/csit.2015.51007",

language = "English",

isbn = "9781921987380",

volume = "5",

pages = "73--79",

editor = "David Wyde and Natarajan Meghanathan",

booktitle = "Third International Conference of Networks and Communications",

publisher = "AIRCC Publishing Corporation",

note = "International Conference on Wireless & Mobile Networks ; Conference date: 23-05-2015 Through 24-05-2015",

}

Alwadi, MD & CHETTY, G 2015, Sensor selection scheme in wireless sensor networks: A new routing approach. in D Wyde & N Meghanathan (eds), Third International Conference of Networks and Communications. vol. 5, AIRCC Publishing Corporation, AIRCC Digital Library, pp. 73-79, International Conference on Wireless & Mobile Networks, Sydney, New South Wales, Australia, 23/05/15. https://doi.org/10.5121/csit.2015.51007

Sensor selection scheme in wireless sensor networks: A new routing approach. / Alwadi, Moh'D; CHETTY, Girija.
Third International Conference of Networks and Communications. ed. / David Wyde; Natarajan Meghanathan. Vol. 5 AIRCC Digital Library: AIRCC Publishing Corporation, 2015. p. 73-79.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution

TY - GEN

T1 - Sensor selection scheme in wireless sensor networks: A new routing approach

AU - Alwadi, Moh'D

AU - CHETTY, Girija

PY - 2015

Y1 - 2015

N2 - In this paper, we propose a novel energy efficient environment monitoring scheme for wireless sensor networks, based on data mining formulation. The proposed adapting routing scheme for sensors for achieving energy efficiency. The experimental validation of the proposed approach using publicly available Intel Berkeley lab Wireless Sensor Network dataset shows that it is possible to achieve energy efficient environment monitoring for wireless sensor networks, with a trade-off between accuracy and life time extension factor of sensors, using the proposed approach.

AB - In this paper, we propose a novel energy efficient environment monitoring scheme for wireless sensor networks, based on data mining formulation. The proposed adapting routing scheme for sensors for achieving energy efficiency. The experimental validation of the proposed approach using publicly available Intel Berkeley lab Wireless Sensor Network dataset shows that it is possible to achieve energy efficient environment monitoring for wireless sensor networks, with a trade-off between accuracy and life time extension factor of sensors, using the proposed approach.

KW - Machine learning

KW - Data mining

KW - Wireless Sensor Networks

UR - http://www.mendeley.com/research/sensor-selection-scheme-wireless-sensor-networks-new-routing-approach

U2 - 10.5121/csit.2015.51007

DO - 10.5121/csit.2015.51007

M3 - Conference contribution

SN - 9781921987380

VL - 5

SP - 73

EP - 79

BT - Third International Conference of Networks and Communications

A2 - Wyde, David

A2 - Meghanathan, Natarajan

PB - AIRCC Publishing Corporation

CY - AIRCC Digital Library

T2 - International Conference on Wireless & Mobile Networks

Y2 - 23 May 2015 through 24 May 2015

ER -

Sensor selection scheme in wireless sensor networks: A new routing approach

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