NDLI: Data fusion utilization for optimizing large-scale Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Soltani, M. Hempel, M. Sharif, H.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. & Electron. Eng., Univ. of Nebraska - Lincoln Omaha, Lincoln, NE, USA (Soltani, M.; Hempel, M.; Sharif, H.)
Abstract	Wireless Sensor Networks (WSN) continue their tremendous growth acceleration. WSNs have found their way into a wide range of domains, from military and transportation applications to medical and environmental monitoring. Some of these applications can include a very large number of nodes, which poses significant challenges to network lifetime, data transmission, and overall reliability. Recently, data fusion approaches are gaining traction in WSNs for improving reported data accuracy and help predict future events. They are used to improve the reliability of delivered information. While this addresses data accuracy, it does not address the inefficiencies caused by very large nodes and high data redundancy. Data aggregation is a simple way of streamlining data flow, but does not fully address the issue. The large WSN size causes congestion and increases the traffic load in the network; plus, decreasing the performance of the WSN and potentially disrupting its operation altogether. In this paper, we therefore explore Kalman Filters (KF) based data fusion as a technique to reduce the number of active sensor nodes in a very large WSN to conserve network resources while preserving the required data reliability and accuracy. Our results show that there is great potential for improving WSN operations utilizing our proposed approach.
Starting Page	367
Ending Page	372
File Size	256586
Page Count	6
File Format	PDF
ISBN	9781479920037
DOI	10.1109/ICC.2014.6883346
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data integration Mathematical model Wireless sensor networks Equations Noise Estimation Accuracy data accuracy data fusion large-scale WSN network size reduction dynamic node reduction Kalman Filter network reliability
Content Type	Text
Resource Type	Article

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