Time-selective data fusion for in-network processing in ad hoc wireless sensor networks
This article introduces a time-selective strategy for enhancing temporal consistency of input data for multi-sensor data fusion for in-network data processing in ad hoc wireless sensor networks. Detecting and handling complex time-variable (real-time) situations require methodical consideration of t...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147718811302 |
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| _version_ | 1832547248092741632 |
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| author | Jaanus Kaugerand Johannes Ehala Leo Mõtus Jürgo-Sören Preden |
| author_facet | Jaanus Kaugerand Johannes Ehala Leo Mõtus Jürgo-Sören Preden |
| author_sort | Jaanus Kaugerand |
| collection | DOAJ |
| description | This article introduces a time-selective strategy for enhancing temporal consistency of input data for multi-sensor data fusion for in-network data processing in ad hoc wireless sensor networks. Detecting and handling complex time-variable (real-time) situations require methodical consideration of temporal aspects, especially in ad hoc wireless sensor network with distributed asynchronous and autonomous nodes. For example, assigning processing intervals of network nodes, defining validity and simultaneity requirements for data items, determining the size of memory required for buffering the data streams produced by ad hoc nodes and other relevant aspects. The data streams produced periodically and sometimes intermittently by sensor nodes arrive to the fusion nodes with variable delays, which results in sporadic temporal order of inputs. Using data from individual nodes in the order of arrival (i.e. freshest data first) does not, in all cases, yield the optimal results in terms of data temporal consistency and fusion accuracy. We propose time-selective data fusion strategy, which combines temporal alignment, temporal constraints and a method for computing delay of sensor readings, to allow fusion node to select the temporally compatible data from received streams. A real-world experiment (moving vehicles in urban environment) for validation of the strategy demonstrates significant improvement of the accuracy of fusion results. |
| format | Article |
| id | doaj-art-b4da9086c96a4a15aeb39c9542bc6c8e |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2018-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-b4da9086c96a4a15aeb39c9542bc6c8e2025-02-03T06:45:37ZengWileyInternational Journal of Distributed Sensor Networks1550-14772018-11-011410.1177/1550147718811302Time-selective data fusion for in-network processing in ad hoc wireless sensor networksJaanus Kaugerand0Johannes Ehala1Leo Mõtus2Jürgo-Sören Preden3Research Laboratory for Proactive Technologies, Tallinn University of Technology, Tallinn, EstoniaResearch Laboratory for Proactive Technologies, Tallinn University of Technology, Tallinn, EstoniaResearch Laboratory for Proactive Technologies, Tallinn University of Technology, Tallinn, EstoniaThinnect, Inc., Sunnyvale, CA, USAThis article introduces a time-selective strategy for enhancing temporal consistency of input data for multi-sensor data fusion for in-network data processing in ad hoc wireless sensor networks. Detecting and handling complex time-variable (real-time) situations require methodical consideration of temporal aspects, especially in ad hoc wireless sensor network with distributed asynchronous and autonomous nodes. For example, assigning processing intervals of network nodes, defining validity and simultaneity requirements for data items, determining the size of memory required for buffering the data streams produced by ad hoc nodes and other relevant aspects. The data streams produced periodically and sometimes intermittently by sensor nodes arrive to the fusion nodes with variable delays, which results in sporadic temporal order of inputs. Using data from individual nodes in the order of arrival (i.e. freshest data first) does not, in all cases, yield the optimal results in terms of data temporal consistency and fusion accuracy. We propose time-selective data fusion strategy, which combines temporal alignment, temporal constraints and a method for computing delay of sensor readings, to allow fusion node to select the temporally compatible data from received streams. A real-world experiment (moving vehicles in urban environment) for validation of the strategy demonstrates significant improvement of the accuracy of fusion results.https://doi.org/10.1177/1550147718811302 |
| spellingShingle | Jaanus Kaugerand Johannes Ehala Leo Mõtus Jürgo-Sören Preden Time-selective data fusion for in-network processing in ad hoc wireless sensor networks International Journal of Distributed Sensor Networks |
| title | Time-selective data fusion for in-network processing in ad hoc wireless sensor networks |
| title_full | Time-selective data fusion for in-network processing in ad hoc wireless sensor networks |
| title_fullStr | Time-selective data fusion for in-network processing in ad hoc wireless sensor networks |
| title_full_unstemmed | Time-selective data fusion for in-network processing in ad hoc wireless sensor networks |
| title_short | Time-selective data fusion for in-network processing in ad hoc wireless sensor networks |
| title_sort | time selective data fusion for in network processing in ad hoc wireless sensor networks |
| url | https://doi.org/10.1177/1550147718811302 |
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