An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques
In the recent era of the Internet of Things, the dominant role of sensors and the Internet provides a solution to a wide variety of real-life problems. Such applications include smart city, smart healthcare systems, smart building, smart transport and smart environment. However, the real-time IoT se...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-10-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/21/6076 |
| _version_ | 1797549829388238848 |
|---|---|
| author | Rajalakshmi Krishnamurthi Adarsh Kumar Dhanalekshmi Gopinathan Anand Nayyar Basit Qureshi |
| author_facet | Rajalakshmi Krishnamurthi Adarsh Kumar Dhanalekshmi Gopinathan Anand Nayyar Basit Qureshi |
| author_sort | Rajalakshmi Krishnamurthi |
| collection | DOAJ |
| description | In the recent era of the Internet of Things, the dominant role of sensors and the Internet provides a solution to a wide variety of real-life problems. Such applications include smart city, smart healthcare systems, smart building, smart transport and smart environment. However, the real-time IoT sensor data include several challenges, such as a deluge of unclean sensor data and a high resource-consumption cost. As such, this paper addresses how to process IoT sensor data, fusion with other data sources, and analyses to produce knowledgeable insight into hidden data patterns for rapid decision-making. This paper addresses the data processing techniques such as data denoising, data outlier detection, missing data imputation and data aggregation. Further, it elaborates on the necessity of data fusion and various data fusion methods such as direct fusion, associated feature extraction, and identity declaration data fusion. This paper also aims to address data analysis integration with emerging technologies, such as cloud computing, fog computing and edge computing, towards various challenges in IoT sensor network and sensor data analysis. In summary, this paper is the first of its kind to present a complete overview of IoT sensor data processing, fusion and analysis techniques. |
| first_indexed | 2024-03-10T15:20:54Z |
| format | Article |
| id | doaj.art-a42fd81ab9224297aebbb87ae6e59fc0 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T15:20:54Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a42fd81ab9224297aebbb87ae6e59fc02023-11-20T18:32:46ZengMDPI AGSensors1424-82202020-10-012021607610.3390/s20216076An Overview of IoT Sensor Data Processing, Fusion, and Analysis TechniquesRajalakshmi Krishnamurthi0Adarsh Kumar1Dhanalekshmi Gopinathan2Anand Nayyar3Basit Qureshi4Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida 201309, IndiaSchool of Computer Science, University of Petroleum and Energy Studies, Dehradun 248007, IndiaDepartment of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida 201309, IndiaGraduate School, Duy Tan University, Da Nang 550000, VietnamDepartment of Computer Science, Prince Sultan University, Riyadh 11586, Saudi ArabiaIn the recent era of the Internet of Things, the dominant role of sensors and the Internet provides a solution to a wide variety of real-life problems. Such applications include smart city, smart healthcare systems, smart building, smart transport and smart environment. However, the real-time IoT sensor data include several challenges, such as a deluge of unclean sensor data and a high resource-consumption cost. As such, this paper addresses how to process IoT sensor data, fusion with other data sources, and analyses to produce knowledgeable insight into hidden data patterns for rapid decision-making. This paper addresses the data processing techniques such as data denoising, data outlier detection, missing data imputation and data aggregation. Further, it elaborates on the necessity of data fusion and various data fusion methods such as direct fusion, associated feature extraction, and identity declaration data fusion. This paper also aims to address data analysis integration with emerging technologies, such as cloud computing, fog computing and edge computing, towards various challenges in IoT sensor network and sensor data analysis. In summary, this paper is the first of its kind to present a complete overview of IoT sensor data processing, fusion and analysis techniques.https://www.mdpi.com/1424-8220/20/21/6076Internet of Thingsdata processingdata analysisdata fusionemerging technologies |
| spellingShingle | Rajalakshmi Krishnamurthi Adarsh Kumar Dhanalekshmi Gopinathan Anand Nayyar Basit Qureshi An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques Sensors Internet of Things data processing data analysis data fusion emerging technologies |
| title | An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques |
| title_full | An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques |
| title_fullStr | An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques |
| title_full_unstemmed | An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques |
| title_short | An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques |
| title_sort | overview of iot sensor data processing fusion and analysis techniques |
| topic | Internet of Things data processing data analysis data fusion emerging technologies |
| url | https://www.mdpi.com/1424-8220/20/21/6076 |
| work_keys_str_mv | AT rajalakshmikrishnamurthi anoverviewofiotsensordataprocessingfusionandanalysistechniques AT adarshkumar anoverviewofiotsensordataprocessingfusionandanalysistechniques AT dhanalekshmigopinathan anoverviewofiotsensordataprocessingfusionandanalysistechniques AT anandnayyar anoverviewofiotsensordataprocessingfusionandanalysistechniques AT basitqureshi anoverviewofiotsensordataprocessingfusionandanalysistechniques AT rajalakshmikrishnamurthi overviewofiotsensordataprocessingfusionandanalysistechniques AT adarshkumar overviewofiotsensordataprocessingfusionandanalysistechniques AT dhanalekshmigopinathan overviewofiotsensordataprocessingfusionandanalysistechniques AT anandnayyar overviewofiotsensordataprocessingfusionandanalysistechniques AT basitqureshi overviewofiotsensordataprocessingfusionandanalysistechniques |