article

Information quality model and optimization for 802.15.4-based wireless sensor networks

Authors:

Lucas VespaAuthors Info & Claims

Journal of Network and Computer Applications, Volume 34, Issue 6

Pages 1773 - 1783

https://doi.org/10.1016/j.jnca.2010.12.013

Published: 01 November 2011 Publication History

Abstract

High information quality is a paramount requirement for wireless sensor network (WSN) monitoring applications. However, it is challenging to achieve a cost effective information quality solution due to unpredictable environment noise and events, unreliable wireless channel and network bandwidth, and sensor resource and energy constraints. Specifically, the dynamic and unreliable nature of WSNs make it difficult to pre-determine optimum sensor rates and predict packet loss. To address this problem, we present an information quality metric which characterizes information quality based on the sampling frequency of sensor nodes and the packet loss rate during network transmission. Our fundamental quality metric is based on signal-to-noise ratio and is therefore application independent. Based on our metric, a quality-aware scheduling system (QSS) is developed, which exploits cross-layer control of sensor nodes to effectively schedule data sensing and forwarding. Particularly, we develop and evaluate several QSS scheduling mechanisms: passive, reactive and perceptive. These mechanisms can adapt to environment noise, bandwidth variation and wireless channel collisions by dynamically controlling sensor rates and phase. Our experimental results indicate that our QSS is a novel and effective approach to improve information quality for WSNs.

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Cited By

Sahoo PSheu J(2017)Design and analysis of collision free MAC for wireless sensor networks with or without data retransmissionJournal of Network and Computer Applications10.1016/j.jnca.2016.12.02080:C(10-21)Online publication date: 15-Feb-2017
https://dl.acm.org/doi/10.1016/j.jnca.2016.12.020
Mathew MWeng N(2016)Adaptive Sensor Node Sleep Scheduling for Quality-of-Experience EnhancementInternational Journal of Distributed Sensor Networks10.1155/2016/69608762016(13)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1155/2016/6960876
Guo HPan ZHuang ZZhou J(2016)A flexible framework for assessing the quality of information in wireless sensor networksInternational Journal of Distributed Sensor Networks10.1155/2015/4859542015(181-181)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1155/2015/485954

Information quality model and optimization for 802.15.4-based wireless sensor networks

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Published In

cover image Journal of Network and Computer Applications

Journal of Network and Computer Applications Volume 34, Issue 6

November, 2011

281 pages

ISSN:1084-8045

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Copyright © © 2010.

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Academic Press Ltd.

United Kingdom

Publication History

Published: 01 November 2011

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Cited By

Sahoo PSheu J(2017)Design and analysis of collision free MAC for wireless sensor networks with or without data retransmissionJournal of Network and Computer Applications10.1016/j.jnca.2016.12.02080:C(10-21)Online publication date: 15-Feb-2017
https://dl.acm.org/doi/10.1016/j.jnca.2016.12.020
Mathew MWeng N(2016)Adaptive Sensor Node Sleep Scheduling for Quality-of-Experience EnhancementInternational Journal of Distributed Sensor Networks10.1155/2016/69608762016(13)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1155/2016/6960876
Guo HPan ZHuang ZZhou J(2016)A flexible framework for assessing the quality of information in wireless sensor networksInternational Journal of Distributed Sensor Networks10.1155/2015/4859542015(181-181)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1155/2015/485954

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