Energy Efficient Event Detection Using Probabilistic Inference in Wireless Sensor Networks.
Saved in:
| Title: | Energy Efficient Event Detection Using Probabilistic Inference in Wireless Sensor Networks. |
|---|---|
| Authors: | Singh, Vishal Krishna1 (AUTHOR) rs149@iiita.ac.in, Verma, Rahul1 (AUTHOR) rahulv.2408@gmail.com, Kumar, Manish1 (AUTHOR) manish@iiita.ac.in |
| Source: | IETE Journal of Research. Nov2017, Vol. 63 Issue 6, p834-844. 11p. |
| Subjects: | Wireless sensor networks, Probabilistic inference, Energy consumption, Data transmission systems, Markov random fields |
| Abstract: | A dense deployment in a wireless sensor network results in multiple nodes reporting the same event. Although data correlation is a much sought parameter for accurate event detection, such uncontrolled transmissions result in high in-network traffic, network congestion, and packet loss. Existing event detection schemes usually consider an acceptable trade-off between the detection accuracy and energy conservation. Therefore, a novel delay-based event detection scheme is proposed in this work to minimize the in-network traffic at the leaf level and optimize the overall energy consumption of the deployed network. The optimal data transmission path to the sink is chosen via a fitness function calculated for all the potential cliques in a Markov random field-based sensor network. Extensive simulation analysis of the proposed scheme proves its efficacy in terms of detection accuracy, communication cost, delivery delay, network energy, and packet delivery ratio. [ABSTRACT FROM AUTHOR] |
| Copyright of IETE Journal of Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 125963136 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Energy Efficient Event Detection Using Probabilistic Inference in Wireless Sensor Networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Singh%2C+Vishal+Krishna%22">Singh, Vishal Krishna</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> rs149@iiita.ac.in</i><br /><searchLink fieldCode="AR" term="%22Verma%2C+Rahul%22">Verma, Rahul</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> rahulv.2408@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Manish%22">Kumar, Manish</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> manish@iiita.ac.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IETE+Journal+of+Research%22">IETE Journal of Research</searchLink>. Nov2017, Vol. 63 Issue 6, p834-844. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Wireless+sensor+networks%22">Wireless sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Probabilistic+inference%22">Probabilistic inference</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink><br /><searchLink fieldCode="DE" term="%22Markov+random+fields%22">Markov random fields</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A dense deployment in a wireless sensor network results in multiple nodes reporting the same event. Although data correlation is a much sought parameter for accurate event detection, such uncontrolled transmissions result in high in-network traffic, network congestion, and packet loss. Existing event detection schemes usually consider an acceptable trade-off between the detection accuracy and energy conservation. Therefore, a novel delay-based event detection scheme is proposed in this work to minimize the in-network traffic at the leaf level and optimize the overall energy consumption of the deployed network. The optimal data transmission path to the sink is chosen via a fitness function calculated for all the potential cliques in a Markov random field-based sensor network. Extensive simulation analysis of the proposed scheme proves its efficacy in terms of detection accuracy, communication cost, delivery delay, network energy, and packet delivery ratio. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IETE Journal of Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=125963136 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/03772063.2017.1329637 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 834 Subjects: – SubjectFull: Wireless sensor networks Type: general – SubjectFull: Probabilistic inference Type: general – SubjectFull: Energy consumption Type: general – SubjectFull: Data transmission systems Type: general – SubjectFull: Markov random fields Type: general Titles: – TitleFull: Energy Efficient Event Detection Using Probabilistic Inference in Wireless Sensor Networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Singh, Vishal Krishna – PersonEntity: Name: NameFull: Verma, Rahul – PersonEntity: Name: NameFull: Kumar, Manish IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 03772063 Numbering: – Type: volume Value: 63 – Type: issue Value: 6 Titles: – TitleFull: IETE Journal of Research Type: main |
| ResultId | 1 |
