Data Fusion Algorithm of Privacy Protection Based on Qos and Multilayers Hierarchically
Because of the special nature of wireless sensor networks, data fusion process is vulnerable to attacks by the destroyer, which is useful for reducing the network communication overhead and improving the data transmission efficiency. Therefore, it is very essential to provide transmission with high...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-12-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/926038 |
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| _version_ | 1849307726526545920 |
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| author | Li Li Qin Qin Li Hua Li Jian |
| author_facet | Li Li Qin Qin Li Hua Li Jian |
| author_sort | Li Li |
| collection | DOAJ |
| description | Because of the special nature of wireless sensor networks, data fusion process is vulnerable to attacks by the destroyer, which is useful for reducing the network communication overhead and improving the data transmission efficiency. Therefore, it is very essential to provide transmission with high security and low energy consumption for sensitive data fusion in wireless sensor network. In this paper, a data fusion algorithm of privacy protection based on Query of Server (Qos) and hierarchical multilayers was put forward, which divided the required privacy protection levels according to different safety requirements, and set up hierarchical network models. In data fusion process, delay constraint was added to guarantee service quality of Qos, and this would reduce energy consumption overhead. Meanwhile, it would guarantee the accuracy of the data and reduce the probability of the whole network information exposed. |
| format | Article |
| id | doaj-art-1d962a7c5bdb4bd39fec02a52024b841 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-1d962a7c5bdb4bd39fec02a52024b8412025-08-20T03:54:38ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-12-01910.1155/2013/926038926038Data Fusion Algorithm of Privacy Protection Based on Qos and Multilayers HierarchicallyLi LiQin QinLi HuaLi JianBecause of the special nature of wireless sensor networks, data fusion process is vulnerable to attacks by the destroyer, which is useful for reducing the network communication overhead and improving the data transmission efficiency. Therefore, it is very essential to provide transmission with high security and low energy consumption for sensitive data fusion in wireless sensor network. In this paper, a data fusion algorithm of privacy protection based on Query of Server (Qos) and hierarchical multilayers was put forward, which divided the required privacy protection levels according to different safety requirements, and set up hierarchical network models. In data fusion process, delay constraint was added to guarantee service quality of Qos, and this would reduce energy consumption overhead. Meanwhile, it would guarantee the accuracy of the data and reduce the probability of the whole network information exposed.https://doi.org/10.1155/2013/926038 |
| spellingShingle | Li Li Qin Qin Li Hua Li Jian Data Fusion Algorithm of Privacy Protection Based on Qos and Multilayers Hierarchically International Journal of Distributed Sensor Networks |
| title | Data Fusion Algorithm of Privacy Protection Based on Qos and Multilayers Hierarchically |
| title_full | Data Fusion Algorithm of Privacy Protection Based on Qos and Multilayers Hierarchically |
| title_fullStr | Data Fusion Algorithm of Privacy Protection Based on Qos and Multilayers Hierarchically |
| title_full_unstemmed | Data Fusion Algorithm of Privacy Protection Based on Qos and Multilayers Hierarchically |
| title_short | Data Fusion Algorithm of Privacy Protection Based on Qos and Multilayers Hierarchically |
| title_sort | data fusion algorithm of privacy protection based on qos and multilayers hierarchically |
| url | https://doi.org/10.1155/2013/926038 |
| work_keys_str_mv | AT lili datafusionalgorithmofprivacyprotectionbasedonqosandmultilayershierarchically AT qinqin datafusionalgorithmofprivacyprotectionbasedonqosandmultilayershierarchically AT lihua datafusionalgorithmofprivacyprotectionbasedonqosandmultilayershierarchically AT lijian datafusionalgorithmofprivacyprotectionbasedonqosandmultilayershierarchically |