RUbIn: A Framework for Reliable and Ubiquitous Inference in WSNs Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.24200/sci.2019.51495.2215
Development of IoT applications brings a new movement to the functionality of wireless sensor networks (WSNs) from only environment sensing and data gathering to collaborative inferring and ubiquitous intelligence. In intelligent WSNs, nodes collaborate to exchange the information needed to achieve the required inference or smartness. Efficiency or correctness of many smart applications relies on the efficient, timely, reliable, and ubiquitous inference of information. In this paper, we introduce the RUbIn framework which provides a generic solution for such ubiquitous inferences. RUbIn brings the reliability and ubiquity for inferences using the redundancy characteristic of the gossiping protocols. With RUbIn, the implementation of such inferences and the control of their speed and cost is abstracted by providing developers with a proposed middleware and some dissemination control services.We develop a prototype implementation of the RUbIn framework and a few inference examples on TinyOS. For evaluation, we utilize both the TOSSIM simulator and a testbed of MicaZ motes in various densities and different number of nodes. Results of the evaluations demonstrate that in all nodes, the inferring time after a change is about a few seconds and the cost of maintenance in stability state is about a few sends per hour.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.24200/sci.2019.51495.2215
- http://scientiairanica.sharif.edu/article_21373_d0a7718e948f8a5143c696b436cae834.pdf
- OA Status
- diamond
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2944661306
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2944661306Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.24200/sci.2019.51495.2215Digital Object Identifier
- Title
-
RUbIn: A Framework for Reliable and Ubiquitous Inference in WSNsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-04-15Full publication date if available
- Authors
-
Abolhassan Shamsaie, Jafar Habibi, Erfan Abdi, Fatemeh GhassemiList of authors in order
- Landing page
-
https://doi.org/10.24200/sci.2019.51495.2215Publisher landing page
- PDF URL
-
https://scientiairanica.sharif.edu/article_21373_d0a7718e948f8a5143c696b436cae834.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://scientiairanica.sharif.edu/article_21373_d0a7718e948f8a5143c696b436cae834.pdfDirect OA link when available
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Computer science, Correctness, Wireless sensor network, Testbed, Inference, Ubiquitous computing, Distributed computing, Middleware (distributed applications), Redundancy (engineering), Computer network, Artificial intelligence, Human–computer interaction, Operating system, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.after | 175 |
| abstract_inverted_index.hour. | 197 |
| abstract_inverted_index.motes | 154 |
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| abstract_inverted_index.their | 108 |
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| abstract_inverted_index.which | 72 |
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| abstract_inverted_index.RUbIn, | 98 |
| abstract_inverted_index.TOSSIM | 147 |
| abstract_inverted_index.brings | 4, 82 |
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| abstract_inverted_index.needed | 38 |
| abstract_inverted_index.nodes, | 171 |
| abstract_inverted_index.nodes. | 162 |
| abstract_inverted_index.number | 160 |
| abstract_inverted_index.paper, | 66 |
| abstract_inverted_index.relies | 53 |
| abstract_inverted_index.sensor | 13 |
| abstract_inverted_index.Results | 163 |
| abstract_inverted_index.TinyOS. | 140 |
| abstract_inverted_index.achieve | 40 |
| abstract_inverted_index.control | 106, 124 |
| abstract_inverted_index.develop | 126 |
| abstract_inverted_index.generic | 75 |
| abstract_inverted_index.seconds | 182 |
| abstract_inverted_index.sensing | 19 |
| abstract_inverted_index.testbed | 151 |
| abstract_inverted_index.timely, | 57 |
| abstract_inverted_index.utilize | 144 |
| abstract_inverted_index.various | 156 |
| abstract_inverted_index.examples | 138 |
| abstract_inverted_index.exchange | 35 |
| abstract_inverted_index.movement | 7 |
| abstract_inverted_index.networks | 14 |
| abstract_inverted_index.proposed | 119 |
| abstract_inverted_index.provides | 73 |
| abstract_inverted_index.required | 42 |
| abstract_inverted_index.solution | 76 |
| abstract_inverted_index.ubiquity | 86 |
| abstract_inverted_index.wireless | 12 |
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| abstract_inverted_index.gossiping | 95 |
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| abstract_inverted_index.inferring | 25, 173 |
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| abstract_inverted_index.prototype | 128 |
| abstract_inverted_index.providing | 115 |
| abstract_inverted_index.reliable, | 58 |
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| abstract_inverted_index.abstracted | 113 |
| abstract_inverted_index.developers | 116 |
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| abstract_inverted_index.inferences | 88, 103 |
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| abstract_inverted_index.smartness. | 45 |
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| abstract_inverted_index.evaluations | 166 |
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| abstract_inverted_index.implementation | 100, 129 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.5299999713897705 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.05146767 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |