A Flexible Framework for Assessing the Quality of Information in Wireless Sensor Networks
As wireless sensor networks (WSNs) often provide incorrect and outdated information about the events in a monitored environment, quality of information (QoI) assessment is invaluable for users to manage and use the information in particular applications. In this paper, we propose a flexible framewor...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-10-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/485954 |
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| _version_ | 1849698145066287104 |
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| author | Hao Guo Zhongming Pan Zhiping Huang Jing Zhou |
| author_facet | Hao Guo Zhongming Pan Zhiping Huang Jing Zhou |
| author_sort | Hao Guo |
| collection | DOAJ |
| description | As wireless sensor networks (WSNs) often provide incorrect and outdated information about the events in a monitored environment, quality of information (QoI) assessment is invaluable for users to manage and use the information in particular applications. In this paper, we propose a flexible framework to dynamically assess the QoI in different WSN applications, with focus on accuracy and timeliness. Our framework is constructed on the infrastructure of an information aggregation procedure under some assumptions about the network. Based on information fusion theory, two processing models are adopted to assess the accuracy of low-level measurement data and high-level decision information without the need for Ground Truth (GT). Meanwhile, our framework generally exploits two respective models according to the specific category of the information timeliness in different delay-sensitive applications. To quantify the timeliness, we utilize a practical measurement method by means of timestamp to determine the information acquisition time. The framework is evaluated by simulations, including accuracy assessment in two environmental monitoring application scenarios, and timeliness assessment in two delay-sensitive application scenarios. The simulation results show that our framework is effective and flexible for quantitative assessment of the QoI in different WSN applications. |
| format | Article |
| id | doaj-art-a4e6886fc90e4ab8b0d276182e2800f1 |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-a4e6886fc90e4ab8b0d276182e2800f12025-08-20T03:18:59ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-10-011110.1155/2015/485954485954A Flexible Framework for Assessing the Quality of Information in Wireless Sensor NetworksHao GuoZhongming PanZhiping HuangJing ZhouAs wireless sensor networks (WSNs) often provide incorrect and outdated information about the events in a monitored environment, quality of information (QoI) assessment is invaluable for users to manage and use the information in particular applications. In this paper, we propose a flexible framework to dynamically assess the QoI in different WSN applications, with focus on accuracy and timeliness. Our framework is constructed on the infrastructure of an information aggregation procedure under some assumptions about the network. Based on information fusion theory, two processing models are adopted to assess the accuracy of low-level measurement data and high-level decision information without the need for Ground Truth (GT). Meanwhile, our framework generally exploits two respective models according to the specific category of the information timeliness in different delay-sensitive applications. To quantify the timeliness, we utilize a practical measurement method by means of timestamp to determine the information acquisition time. The framework is evaluated by simulations, including accuracy assessment in two environmental monitoring application scenarios, and timeliness assessment in two delay-sensitive application scenarios. The simulation results show that our framework is effective and flexible for quantitative assessment of the QoI in different WSN applications.https://doi.org/10.1155/2015/485954 |
| spellingShingle | Hao Guo Zhongming Pan Zhiping Huang Jing Zhou A Flexible Framework for Assessing the Quality of Information in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | A Flexible Framework for Assessing the Quality of Information in Wireless Sensor Networks |
| title_full | A Flexible Framework for Assessing the Quality of Information in Wireless Sensor Networks |
| title_fullStr | A Flexible Framework for Assessing the Quality of Information in Wireless Sensor Networks |
| title_full_unstemmed | A Flexible Framework for Assessing the Quality of Information in Wireless Sensor Networks |
| title_short | A Flexible Framework for Assessing the Quality of Information in Wireless Sensor Networks |
| title_sort | flexible framework for assessing the quality of information in wireless sensor networks |
| url | https://doi.org/10.1155/2015/485954 |
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