Situation awareness via Internet of things and in-network data processing
Computing on the edge of the Internet of things comprises among other tasks in-sensor signal processing and performing distributed data fusion and aggregation at network nodes. This poses a challenge to distributed sensor networks of low computing power devices that have to do complex fusion, aggreg...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147716686578 |
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| _version_ | 1832555324110798848 |
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| author | Johannes Ehala Jaanus Kaugerand Raido Pahtma Sergei Astapov Andri Riid Timo Tomson Jürgo-Sören Preden Leo Mõtus |
| author_facet | Johannes Ehala Jaanus Kaugerand Raido Pahtma Sergei Astapov Andri Riid Timo Tomson Jürgo-Sören Preden Leo Mõtus |
| author_sort | Johannes Ehala |
| collection | DOAJ |
| description | Computing on the edge of the Internet of things comprises among other tasks in-sensor signal processing and performing distributed data fusion and aggregation at network nodes. This poses a challenge to distributed sensor networks of low computing power devices that have to do complex fusion, aggregation and signal processing in situ. One of the difficulties lies in ensuring validity of data collected from heterogeneous sources. Ensuring data validity, for example, the temporal and spatial correctness of data, is crucial for correct in-network data fusion and aggregation. The article considers wireless sensor technology in military domain with the aim of improving situation awareness for military operations. Requirements for contemporary intelligence, surveillance and reconnaissance applications are explored and an experimental wireless sensor network, designed to enhance situation awareness to both in-the-field units and remote intelligence operatives, is described. The sensor nodes have the capability to perform in-sensor signal processing and distributed in-network data aggregation and fusion complying with edge computing paradigm. In-network data processing is supported by service-oriented middleware which facilitates run-time sensor discovery and tasking and ad hoc (re)configuration of the network links. The article describes two experiments demonstrating the ability of the wireless sensor network to meet intelligence, surveillance and reconnaissance requirements. The efficiency of distributed data fusion is evaluated and the importance and effect of establishing data validity is shown. |
| format | Article |
| id | doaj-art-ec52ca7fd37c40448442f4009947e410 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-ec52ca7fd37c40448442f4009947e4102025-02-03T05:48:32ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-01-011310.1177/1550147716686578Situation awareness via Internet of things and in-network data processingJohannes EhalaJaanus KaugerandRaido PahtmaSergei AstapovAndri RiidTimo TomsonJürgo-Sören PredenLeo MõtusComputing on the edge of the Internet of things comprises among other tasks in-sensor signal processing and performing distributed data fusion and aggregation at network nodes. This poses a challenge to distributed sensor networks of low computing power devices that have to do complex fusion, aggregation and signal processing in situ. One of the difficulties lies in ensuring validity of data collected from heterogeneous sources. Ensuring data validity, for example, the temporal and spatial correctness of data, is crucial for correct in-network data fusion and aggregation. The article considers wireless sensor technology in military domain with the aim of improving situation awareness for military operations. Requirements for contemporary intelligence, surveillance and reconnaissance applications are explored and an experimental wireless sensor network, designed to enhance situation awareness to both in-the-field units and remote intelligence operatives, is described. The sensor nodes have the capability to perform in-sensor signal processing and distributed in-network data aggregation and fusion complying with edge computing paradigm. In-network data processing is supported by service-oriented middleware which facilitates run-time sensor discovery and tasking and ad hoc (re)configuration of the network links. The article describes two experiments demonstrating the ability of the wireless sensor network to meet intelligence, surveillance and reconnaissance requirements. The efficiency of distributed data fusion is evaluated and the importance and effect of establishing data validity is shown.https://doi.org/10.1177/1550147716686578 |
| spellingShingle | Johannes Ehala Jaanus Kaugerand Raido Pahtma Sergei Astapov Andri Riid Timo Tomson Jürgo-Sören Preden Leo Mõtus Situation awareness via Internet of things and in-network data processing International Journal of Distributed Sensor Networks |
| title | Situation awareness via Internet of things and in-network data processing |
| title_full | Situation awareness via Internet of things and in-network data processing |
| title_fullStr | Situation awareness via Internet of things and in-network data processing |
| title_full_unstemmed | Situation awareness via Internet of things and in-network data processing |
| title_short | Situation awareness via Internet of things and in-network data processing |
| title_sort | situation awareness via internet of things and in network data processing |
| url | https://doi.org/10.1177/1550147716686578 |
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