MDiag: Mobility-assisted diagnosis for wireless sensor networks
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| Title: | MDiag: Mobility-assisted diagnosis for wireless sensor networks |
|---|---|
| Authors: | Xiong, Junjie1,2 jjxiong@cse.cuhk.edu.hk, Zhou, Yangfan1,2 yfzhou@cse.cuhk.edu.hk, Lyu, Michael R.1,2 lyu@cse.cuhk.edu.hk, Young, Evan F.Y.2 fyyoung@cse.cuhk.edu.hk |
| Source: | Journal of Network & Computer Applications. Jan2013, Vol. 36 Issue 1, p167-177. 11p. |
| Subjects: | Wireless sensor networks, Computer diagnostic software, Failure Analysis System (Computer system), Computer simulation, Smartphones, Computer networks |
| Abstract: | Abstract: Though widely employed in various applications, wireless sensor networks (WSNs) are liable to failures, especially after deployment. Since the on-site failures are difficult to reproduce, it is of critical importance to perform in-situ diagnosis. Current in-situ diagnosis methods are either intrusive or inefficient, because they either inject diagnosis agents into each sensor node or build up another network for diagnosis purpose. To tackle these issues, we propose MDiag, a mobility-assisted diagnosis approach that employs smartphones to patrol the WSNs and diagnose failures. Diagnosing with a smartphone which is not a component of WSNs does not intrude the execution of the WSNs. Moreover, patrolling the smartphone in the WSNs to investigate failures is more efficient than deploying another diagnosis network. Statistical rules are designed to guide the detection of abnormal cases. Aiming at improving the patrol efficiency, a patrol approach MSEP (maximum snooping efficiency patrol) is proposed. MSEP is designed to achieve better performance than the naive method, the greedy method, and the baseline method in increasing the detection rate and reducing the patrol time of MDiag. Experiments with real sensor nodes and emulations validate the effectiveness of MDiag in detecting anomalous cases caused by faults. [Copyright &y& Elsevier] |
| Copyright of Journal of Network & Computer Applications is the property of Academic Press Inc. 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 | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 83880809 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: MDiag: Mobility-assisted diagnosis for wireless sensor networks – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Xiong%2C+Junjie%22">Xiong, Junjie</searchLink><relatesTo>1,2</relatesTo><i> jjxiong@cse.cuhk.edu.hk</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Yangfan%22">Zhou, Yangfan</searchLink><relatesTo>1,2</relatesTo><i> yfzhou@cse.cuhk.edu.hk</i><br /><searchLink fieldCode="AR" term="%22Lyu%2C+Michael+R%2E%22">Lyu, Michael R.</searchLink><relatesTo>1,2</relatesTo><i> lyu@cse.cuhk.edu.hk</i><br /><searchLink fieldCode="AR" term="%22Young%2C+Evan+F%2EY%2E%22">Young, Evan F.Y.</searchLink><relatesTo>2</relatesTo><i> fyyoung@cse.cuhk.edu.hk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Network+%26+Computer+Applications%22">Journal of Network & Computer Applications</searchLink>. Jan2013, Vol. 36 Issue 1, p167-177. 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="%22Computer+diagnostic+software%22">Computer diagnostic software</searchLink><br /><searchLink fieldCode="DE" term="%22Failure+Analysis+System+%28Computer+system%29%22">Failure Analysis System (Computer system)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Smartphones%22">Smartphones</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+networks%22">Computer networks</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: Though widely employed in various applications, wireless sensor networks (WSNs) are liable to failures, especially after deployment. Since the on-site failures are difficult to reproduce, it is of critical importance to perform in-situ diagnosis. Current in-situ diagnosis methods are either intrusive or inefficient, because they either inject diagnosis agents into each sensor node or build up another network for diagnosis purpose. To tackle these issues, we propose MDiag, a mobility-assisted diagnosis approach that employs smartphones to patrol the WSNs and diagnose failures. Diagnosing with a smartphone which is not a component of WSNs does not intrude the execution of the WSNs. Moreover, patrolling the smartphone in the WSNs to investigate failures is more efficient than deploying another diagnosis network. Statistical rules are designed to guide the detection of abnormal cases. Aiming at improving the patrol efficiency, a patrol approach MSEP (maximum snooping efficiency patrol) is proposed. MSEP is designed to achieve better performance than the naive method, the greedy method, and the baseline method in increasing the detection rate and reducing the patrol time of MDiag. Experiments with real sensor nodes and emulations validate the effectiveness of MDiag in detecting anomalous cases caused by faults. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Network & Computer Applications is the property of Academic Press Inc. 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: 10.1016/j.jnca.2012.09.008 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 167 Subjects: – SubjectFull: Wireless sensor networks Type: general – SubjectFull: Computer diagnostic software Type: general – SubjectFull: Failure Analysis System (Computer system) Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: Smartphones Type: general – SubjectFull: Computer networks Type: general Titles: – TitleFull: MDiag: Mobility-assisted diagnosis for wireless sensor networks Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xiong, Junjie – PersonEntity: Name: NameFull: Zhou, Yangfan – PersonEntity: Name: NameFull: Lyu, Michael R. – PersonEntity: Name: NameFull: Young, Evan F.Y. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 10848045 Numbering: – Type: volume Value: 36 – Type: issue Value: 1 Titles: – TitleFull: Journal of Network & Computer Applications Type: main |
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