An Efficient Data Aggregation Method for Event-Driven WSNs: A Modeling and Evaluation Approach.
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| Title: | An Efficient Data Aggregation Method for Event-Driven WSNs: A Modeling and Evaluation Approach. |
|---|---|
| Authors: | Kamarei, Meisam1 kamarei@gmail.com, Hajimohammadi, Mojtaba1 hajimohammadi@gmail.com, Patooghy, Ahmad patooghy@iust.ac.ir, Fazeli, Mahdi m_fazeli@iust.ac.ir |
| Source: | Wireless Personal Communications. Sep2015, Vol. 84 Issue 1, p745-764. 20p. |
| Subjects: | Wireless sensor networks, Event driven systems (Computer science), Mathematical models, Data transmission systems, Computer simulation |
| Abstract: | This paper proposes and models an efficient data aggregation method for wireless sensor networks (WSNs). In the proposed data aggregation method, every cluster head (CH) node incorporates a local forwarding history to decide whether to forward or to drop a recently received packet. When a new packet arrives at a CH node, a threshold value is calculated based on the information of the forwarding history; then, a random number is generated and compared with the threshold value to determine whether the packet should be dropped or not. In fact, the CH node forwards the new packet with the probability of 1 − p and drops it with probability of p where the parameter p is determined based on the forwarding history. In order to evaluate the proposed data aggregation method, two approaches consisting of simulation and analytical modeling are used. Various scenarios are considered in simulations conducted with NS2 software to compare the proposed data aggregation method with four previously proposed methods. Results reveal that the proposed method (1) aggregates more than 70 % of redundant packets, (2) reduces the network end-to-end delay by at least 22 %, and (3) reduces the missed event rate compared with the other methods. The proposed method is also evaluated by means of an analytical model based on queuing networks. The model accurately estimates the network performance utilizing the proposed data aggregation method. Comparisons of the results obtained by the proposed model and simulations confirm that the proposed model has at most 7 % prediction error. The proposed model allows WSN designers to easily achieve useful information about their networks before the establishment and manufacturing of the networks. [ABSTRACT FROM AUTHOR] |
| Copyright of Wireless Personal Communications is the property of Springer Nature 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 |
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| Items | – Name: Title Label: Title Group: Ti Data: An Efficient Data Aggregation Method for Event-Driven WSNs: A Modeling and Evaluation Approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kamarei%2C+Meisam%22">Kamarei, Meisam</searchLink><relatesTo>1</relatesTo><i> kamarei@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Hajimohammadi%2C+Mojtaba%22">Hajimohammadi, Mojtaba</searchLink><relatesTo>1</relatesTo><i> hajimohammadi@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Patooghy%2C+Ahmad%22">Patooghy, Ahmad</searchLink><i> patooghy@iust.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Fazeli%2C+Mahdi%22">Fazeli, Mahdi</searchLink><i> m_fazeli@iust.ac.ir</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Wireless+Personal+Communications%22">Wireless Personal Communications</searchLink>. Sep2015, Vol. 84 Issue 1, p745-764. 20p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Wireless+sensor+networks%22">Wireless sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Event+driven+systems+%28Computer+science%29%22">Event driven systems (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper proposes and models an efficient data aggregation method for wireless sensor networks (WSNs). In the proposed data aggregation method, every cluster head (CH) node incorporates a local forwarding history to decide whether to forward or to drop a recently received packet. When a new packet arrives at a CH node, a threshold value is calculated based on the information of the forwarding history; then, a random number is generated and compared with the threshold value to determine whether the packet should be dropped or not. In fact, the CH node forwards the new packet with the probability of 1 − p and drops it with probability of p where the parameter p is determined based on the forwarding history. In order to evaluate the proposed data aggregation method, two approaches consisting of simulation and analytical modeling are used. Various scenarios are considered in simulations conducted with NS2 software to compare the proposed data aggregation method with four previously proposed methods. Results reveal that the proposed method (1) aggregates more than 70 % of redundant packets, (2) reduces the network end-to-end delay by at least 22 %, and (3) reduces the missed event rate compared with the other methods. The proposed method is also evaluated by means of an analytical model based on queuing networks. The model accurately estimates the network performance utilizing the proposed data aggregation method. Comparisons of the results obtained by the proposed model and simulations confirm that the proposed model has at most 7 % prediction error. The proposed model allows WSN designers to easily achieve useful information about their networks before the establishment and manufacturing of the networks. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Wireless Personal Communications is the property of Springer Nature 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11277-015-2659-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 745 Subjects: – SubjectFull: Wireless sensor networks Type: general – SubjectFull: Event driven systems (Computer science) Type: general – SubjectFull: Mathematical models Type: general – SubjectFull: Data transmission systems Type: general – SubjectFull: Computer simulation Type: general Titles: – TitleFull: An Efficient Data Aggregation Method for Event-Driven WSNs: A Modeling and Evaluation Approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kamarei, Meisam – PersonEntity: Name: NameFull: Hajimohammadi, Mojtaba – PersonEntity: Name: NameFull: Patooghy, Ahmad – PersonEntity: Name: NameFull: Fazeli, Mahdi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 09296212 Numbering: – Type: volume Value: 84 – Type: issue Value: 1 Titles: – TitleFull: Wireless Personal Communications Type: main |
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