Adaptive WSN Scheduling for Lifetime Extension in Environmental Monitoring Applications
Joint Authors
Bleakley, Chris
Lim, Jong Chern
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-12-12
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Electronic engineering
Information Technology and Computer Science
Topics
Abstract EN
Wireless sensor networks (WSNs) are often used for environmental monitoring applications in which nodes periodically measure environmental conditions and immediately send the measurements back to the sink for processing.
Since WSN nodes are typically battery powered, network lifetime is a major concern.
A key research problem is how to determine the data gathering schedule that will maximize network lifetime while meeting the user's application-specific accuracy requirements.
In this work, a novel algorithm for determining efficient sampling schedules for data gathering WSNs is proposed.
The algorithm differs from previous work in that it dynamically adapts the sampling schedule based on the observed internode data correlation as well as the temporal correlation.
The performance of the algorithm has been assessed using real-world datasets.
For two-tier networks, the proposed algorithm outperforms a highly cited previously published algorithm by up to 512% in terms of lifetime and by up to 30% in terms of prediction accuracy.
For multihop networks, the proposed algorithm improves on the previously published algorithm by up to 553% and 38% in terms of lifetime and accuracy, respectively.
American Psychological Association (APA)
Lim, Jong Chern& Bleakley, Chris. 2011. Adaptive WSN Scheduling for Lifetime Extension in Environmental Monitoring Applications. International Journal of Distributed Sensor Networks،Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-460518
Modern Language Association (MLA)
Lim, Jong Chern& Bleakley, Chris. Adaptive WSN Scheduling for Lifetime Extension in Environmental Monitoring Applications. International Journal of Distributed Sensor Networks No. 2012 (2012), pp.1-17.
https://search.emarefa.net/detail/BIM-460518
American Medical Association (AMA)
Lim, Jong Chern& Bleakley, Chris. Adaptive WSN Scheduling for Lifetime Extension in Environmental Monitoring Applications. International Journal of Distributed Sensor Networks. 2011. Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-460518
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460518