A Novel Coverage Enhancement Algorithm for Image Sensor Networks
The needs of diverse environmental information introduce the multimedia data into wireless sensor networks. The characteristics of most multimedia information, such as great amounts of data and high-quality requirement for network service, positively affect traditional wireless sensor networks, whic...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2012/370935 |
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| _version_ | 1850168495370665984 |
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| author | Haiping Huang Lijuan Sun Ruchuan Wang Jing Li |
| author_facet | Haiping Huang Lijuan Sun Ruchuan Wang Jing Li |
| author_sort | Haiping Huang |
| collection | DOAJ |
| description | The needs of diverse environmental information introduce the multimedia data into wireless sensor networks. The characteristics of most multimedia information, such as great amounts of data and high-quality requirement for network service, positively affect traditional wireless sensor networks, which also derive various new research areas. This paper focuses on the multimedia image sensor networks and proposes FVPTR (fuzzy image recognition and virtual-potential-field-based paired tangent point repulsion) method to enhance the perspective coverage of network. This approach utilizes fuzzy image recognition method to process the boundary nodes. Aimed at nonboundary nodes, based on potential field theory, it adopts paired tangent point repulsion mechanism, which attempts to obtain the optimal network sensing coverage through the multiple paired achievements between one current node and several target nodes. Combined with FVPTR, some algorithms such as LRBA, MBAA, and mixed superposition algorithm are put forward to single or multiple-time adjustment by the rotation of the direction angle. The results of simulation and all kinds of comparisons show that three-times pairing method enhances the coverage of networks well. |
| format | Article |
| id | doaj-art-d8d2f7cd3b6e4960b7afb4940077cae2 |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2012-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-d8d2f7cd3b6e4960b7afb4940077cae22025-08-20T02:20:57ZengWileyInternational Journal of Distributed Sensor Networks1550-14772012-05-01810.1155/2012/370935A Novel Coverage Enhancement Algorithm for Image Sensor NetworksHaiping Huang0Lijuan Sun1Ruchuan Wang2Jing Li3 College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaThe needs of diverse environmental information introduce the multimedia data into wireless sensor networks. The characteristics of most multimedia information, such as great amounts of data and high-quality requirement for network service, positively affect traditional wireless sensor networks, which also derive various new research areas. This paper focuses on the multimedia image sensor networks and proposes FVPTR (fuzzy image recognition and virtual-potential-field-based paired tangent point repulsion) method to enhance the perspective coverage of network. This approach utilizes fuzzy image recognition method to process the boundary nodes. Aimed at nonboundary nodes, based on potential field theory, it adopts paired tangent point repulsion mechanism, which attempts to obtain the optimal network sensing coverage through the multiple paired achievements between one current node and several target nodes. Combined with FVPTR, some algorithms such as LRBA, MBAA, and mixed superposition algorithm are put forward to single or multiple-time adjustment by the rotation of the direction angle. The results of simulation and all kinds of comparisons show that three-times pairing method enhances the coverage of networks well.https://doi.org/10.1155/2012/370935 |
| spellingShingle | Haiping Huang Lijuan Sun Ruchuan Wang Jing Li A Novel Coverage Enhancement Algorithm for Image Sensor Networks International Journal of Distributed Sensor Networks |
| title | A Novel Coverage Enhancement Algorithm for Image Sensor Networks |
| title_full | A Novel Coverage Enhancement Algorithm for Image Sensor Networks |
| title_fullStr | A Novel Coverage Enhancement Algorithm for Image Sensor Networks |
| title_full_unstemmed | A Novel Coverage Enhancement Algorithm for Image Sensor Networks |
| title_short | A Novel Coverage Enhancement Algorithm for Image Sensor Networks |
| title_sort | novel coverage enhancement algorithm for image sensor networks |
| url | https://doi.org/10.1155/2012/370935 |
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