Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105650
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | - |
dc.creator | Guo, P | - |
dc.creator | Cao, J | - |
dc.creator | Liu, X | - |
dc.date.accessioned | 2024-04-15T07:35:40Z | - |
dc.date.available | 2024-04-15T07:35:40Z | - |
dc.identifier.issn | 1551-3203 | - |
dc.identifier.uri | http://hdl.handle.net/10397/105650 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication P. Guo, J. Cao and X. Liu, "Lossless In-Network Processing in WSNs for Domain-Specific Monitoring Applications," in IEEE Transactions on Industrial Informatics, vol. 13, no. 5, pp. 2130-2139, Oct. 2017 is available at https://doi.org/10.1109/TII.2017.2691586. | en_US |
dc.subject | In-network processing | en_US |
dc.subject | Matrix computation | en_US |
dc.subject | Routing scheme | en_US |
dc.subject | Wireless sensor network (WSN) | en_US |
dc.title | Lossless in-network processing in WSNs for domain-specific monitoring applications | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 2130 | - |
dc.identifier.epage | 2139 | - |
dc.identifier.volume | 13 | - |
dc.identifier.issue | 5 | - |
dc.identifier.doi | 10.1109/TII.2017.2691586 | - |
dcterms.abstract | Internet of things (IOT) is emerging as sensing paradigms in many domain-specific monitoring applications in smart cities, such as structural health monitoring (SHM) and smart grid monitoring. Due to the large size of the monitoring objects (e.g., civil structure or the power grid), plenty of sensors need to be deployed and organized to be a large scale of multihop wireless sensor networks (WSNs), which tends to have quite high transmission cost. In-network processing is an efficient way to reduce the transmission cost in WSNs. However, implementing in-network processing for above domain-specific monitoring usually requires to losslessly distribute a dedicate domain-specific algorithm into WSNs, which is much different from most existing in-network processing works. This paper conducts a case study of a classic centralized SHM algorithm, i.e., eigensystem realization algorithm (ERA), and shows how to losslessly and optimally in-network process ERA, especially the typical feature extraction method, i.e., that is singular value decomposition (SVD) therein, in a WSN. Based on whether the intermediate data can be processed together or not by sensor nodes, we respectively implement tree-based in-network processing of SVD and chain-based in-network processing of SVD in WSNs. We prove that using an appropriate shallow light tree as routes for tree-based in-network processing of SVD, can achieve the approximation ratio 1+√2 (in terms of transmission cost), while for the chain-based in-network processing of SVD, we design two efficient heuristic algorithms for searching the optimal routes. Extensive simulation results validate the efficiency of these proposed schemes that are customized for SVD-based IOT applications. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on industrial informatics, Oct. 2017, v. 13, no. 5, p. 2130-2139 | - |
dcterms.isPartOf | IEEE transactions on industrial informatics | - |
dcterms.issued | 2017-10 | - |
dc.identifier.scopus | 2-s2.0-85031701747 | - |
dc.identifier.eissn | 1941-0050 | - |
dc.description.validate | 202402 bcch | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | COMP-1130 | en_US |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | NSF of China; NSFC Key Grant | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 20678760 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
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Cao_Lossless_In-Network_Processing.pdf | Pre-Published version | 831.13 kB | Adobe PDF | View/Open |
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