Cooperative Processing Model for Wireless Sensor Networks.
Saved in:
| Title: | Cooperative Processing Model for Wireless Sensor Networks. |
|---|---|
| Authors: | Chongmyung Park1, Youngtae Jo1, Inbum Jung1 ibjung@snslab.kangwon.ac.kr |
| Source: | International Journal of Distributed Sensor Networks. 2013, p1-8. 8p. |
| Subjects: | Wireless sensor networks, Cooperative processing, Data packeting, Distributed computing, Decision making |
| Abstract: | Wireless sensor networks offer a distributed processing environment. Many sensor nodes are deployed in fields that have limited resources such as computing power, network bandwidth, and electric power. The sensor nodes construct their own networks automatically, and the collected data are sent to the sink node. In these traditional wireless sensor networks, network congestion due to packet flooding through the networks shortens the network life time. Clustering or in-network technologies help reduce packet flooding in the networks. Many studies have focused on saving energy in the sensor nodes because the limited available power leads to an important problem of extending the operation of sensor networks as long as possible. However, we focus on the execution time because clustering and local distributed processing already contribute to saving energy by local decision making. In this paper, we present a cooperative processing model based on the processing timeline. Our processing model includes validation of the processing, prediction of the total execution time, and determination of the optimal number of processing nodes for distributed processing in wireless sensor networks. The experiments demonstrate the accuracy of the proposed model, and a case study shows that our model can be used for the distributed application. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 95290860 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Cooperative Processing Model for Wireless Sensor Networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chongmyung+Park%22">Chongmyung Park</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Youngtae+Jo%22">Youngtae Jo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Inbum+Jung%22">Inbum Jung</searchLink><relatesTo>1</relatesTo><i> ibjung@snslab.kangwon.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Distributed+Sensor+Networks%22">International Journal of Distributed Sensor Networks</searchLink>. 2013, p1-8. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Wireless+sensor+networks%22">Wireless sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Cooperative+processing%22">Cooperative processing</searchLink><br /><searchLink fieldCode="DE" term="%22Data+packeting%22">Data packeting</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+computing%22">Distributed computing</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Wireless sensor networks offer a distributed processing environment. Many sensor nodes are deployed in fields that have limited resources such as computing power, network bandwidth, and electric power. The sensor nodes construct their own networks automatically, and the collected data are sent to the sink node. In these traditional wireless sensor networks, network congestion due to packet flooding through the networks shortens the network life time. Clustering or in-network technologies help reduce packet flooding in the networks. Many studies have focused on saving energy in the sensor nodes because the limited available power leads to an important problem of extending the operation of sensor networks as long as possible. However, we focus on the execution time because clustering and local distributed processing already contribute to saving energy by local decision making. In this paper, we present a cooperative processing model based on the processing timeline. Our processing model includes validation of the processing, prediction of the total execution time, and determination of the optimal number of processing nodes for distributed processing in wireless sensor networks. The experiments demonstrate the accuracy of the proposed model, and a case study shows that our model can be used for the distributed application. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell 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=95290860 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/2013/317214 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1 Subjects: – SubjectFull: Wireless sensor networks Type: general – SubjectFull: Cooperative processing Type: general – SubjectFull: Data packeting Type: general – SubjectFull: Distributed computing Type: general – SubjectFull: Decision making Type: general Titles: – TitleFull: Cooperative Processing Model for Wireless Sensor Networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chongmyung Park – PersonEntity: Name: NameFull: Youngtae Jo – PersonEntity: Name: NameFull: Inbum Jung IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 15501329 Titles: – TitleFull: International Journal of Distributed Sensor Networks Type: main |
| ResultId | 1 |
