Statistics-based outlier detection for wireless sensor networks (Record no. 160621)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01913nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | ZW-GwMSU |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20221128104231.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 221128b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MSU |
| Transcribing agency | MSU |
| Description conventions | rda |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Zhang ,Y |
| Relator term | author |
| 245 ## - TITLE STATEMENT | |
| Title | Statistics-based outlier detection for wireless sensor networks |
| Statement of responsibility, etc. | created by Y. Zhang , N.A.S. Hamm , N. Meratnia , A. Stein , M. van de Voort & P.J.M. Havinga |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Name of producer, publisher, distributor, manufacturer | Taylor & Francis |
| Date of production, publication, distribution, manufacture, or copyright notice | 2012 |
| 336 ## - CONTENT TYPE | |
| Source | rdacontent |
| Content type term | text |
| Content type code | txt |
| 337 ## - MEDIA TYPE | |
| Source | rdamedia |
| Media type term | unmediated |
| Media type code | n |
| 338 ## - CARRIER TYPE | |
| Source | rdacarrier |
| Carrier type term | volume |
| Carrier type code | nc |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Volume/sequential designation | Volume , number , |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Wireless sensor network (WSN) applications require efficient, accurate and timely data analysis in order to facilitate (near) real-time critical decision-making and situation awareness. Accurate analysis and decision-making relies on the quality of WSN data as well as on the additional information and context. Raw observations collected from sensor nodes, however, may have low data quality and reliability due to limited WSN resources and harsh deployment environments. This article addresses the quality of WSN data focusing on outlier detection. These are defined as observations that do not conform to the expected behaviour of the data. The developed methodology is based on time-series analysis and geostatistics. Experiments with a real data set from the Swiss Alps showed that the developed methodology accurately detected outliers in WSN data taking advantage of their spatial and temporal correlations. It is concluded that the incorporation of tools for outlier detection in WSNs can be based on current statistical methodology. This provides a usable and important tool in a novel scientific field. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | outlier detections |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | wireless sensor network |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | spatial correlation |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1080/13658816.2012.654493 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | Journal Article |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Serial Enumeration / chronology | Total Checkouts | Full call number | Date last seen | Copy number | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Main Library | Main Library | - Special Collections | 26/02/2013 | Vol 26 .No.7-8 pages 1373-1392 | G70.2 INT | 28/11/2022 | SP14366 | 28/11/2022 | Journal Article | For Inhouse use only |