Journal
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
Volume -, Issue -, Pages -Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1186/s13638-018-1069-6
Keywords
Wireless sensor networks; Data quality; Data cleaning
Funding
- National Science Foundation of China [61370210]
- Program for New Century Excellent Talents in Fujian Province of China [SX2015-01]
- Fujian Province Key Laboratory of Network Computing and Intelligent Information Processing Project [2009J1007]
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The quality of data in wireless sensor networks has a significant impact on decision support, and data cleaning is an effective way to improve data quality. However, if the data cleaning strategies are not correctly designed, it might result in an unsatisfactory cleaning effect with increased system cleaning costs. Initially, data quality evaluation indicators and their measurement methods in wireless sensor networks were introduced. We then explored the impact of relationship between different indicators which are used in the quality assessment. Finally, data cleaning strategy for wireless sensor networks based on the relationship between data quality indicators was proposed by comparing and analyzing data cleaning schemes with different orders. The experimental results showed that the proposed data cleaning strategy can effectively improve data availability and have a better cleaning effect in wireless sensor networks for the same cleaning cost.
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