Framework for Error Detection & its Localization in Sensor Data Stream for reliable big sensor data analytics using Apache Spark Streaming Article Swipe
Govind P. Gupta
,
Jahanvi Khedwal
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.procs.2020.03.286
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.procs.2020.03.286
Internet of Things (IoT) is one of the big sources of Big Sensor data in which collected sensor readings often polluted due to corruption and losses of the sensor readings. In Big Sensor data analytics, fast and efficient detection of error and its localization is a challenging research issue. Most of the existing solutions for the error detection and localization in sensor data use offline techniques for detecting errors. In this paper, we propose a novel framework for online error detection and its localization which uses an online scheme for detecting and localizing errors in sensor data using latest big data processing tools such as Apache Spark streaming. Performance evaluation of the proposed framework is done using two different datasets such as real-time air quality dataset of the Raipur city and Intel sensor dataset in terms of false positive.
Related Topics
Concepts
SPARK (programming language)
Computer science
Big data
Analytics
Real-time computing
Anomaly detection
Wireless sensor network
Stream processing
Scheme (mathematics)
Data mining
Internet of Things
Embedded system
Distributed computing
Operating system
Mathematics
Programming language
Mathematical analysis
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.procs.2020.03.286
- OA Status
- diamond
- Cited By
- 10
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3017025919
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3017025919Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.procs.2020.03.286Digital Object Identifier
- Title
-
Framework for Error Detection & its Localization in Sensor Data Stream for reliable big sensor data analytics using Apache Spark StreamingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Govind P. Gupta, Jahanvi KhedwalList of authors in order
- Landing page
-
https://doi.org/10.1016/j.procs.2020.03.286Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.procs.2020.03.286Direct OA link when available
- Concepts
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SPARK (programming language), Computer science, Big data, Analytics, Real-time computing, Anomaly detection, Wireless sensor network, Stream processing, Scheme (mathematics), Data mining, Internet of Things, Embedded system, Distributed computing, Operating system, Mathematics, Programming language, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 3, 2022: 5, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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19Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.readings | 18 |
| abstract_inverted_index.research | 47 |
| abstract_inverted_index.collected | 16 |
| abstract_inverted_index.detecting | 67, 90 |
| abstract_inverted_index.detection | 38, 57, 80 |
| abstract_inverted_index.different | 118 |
| abstract_inverted_index.efficient | 37 |
| abstract_inverted_index.framework | 76, 113 |
| abstract_inverted_index.positive. | 138 |
| abstract_inverted_index.readings. | 29 |
| abstract_inverted_index.real-time | 122 |
| abstract_inverted_index.solutions | 53 |
| abstract_inverted_index.analytics, | 34 |
| abstract_inverted_index.corruption | 23 |
| abstract_inverted_index.evaluation | 109 |
| abstract_inverted_index.localizing | 92 |
| abstract_inverted_index.processing | 101 |
| abstract_inverted_index.streaming. | 107 |
| abstract_inverted_index.techniques | 65 |
| abstract_inverted_index.Performance | 108 |
| abstract_inverted_index.challenging | 46 |
| abstract_inverted_index.localization | 43, 59, 83 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 93 |
| corresponding_author_ids | https://openalex.org/A5090381393 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I38335241 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.85056191 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |