On the Use of Perfect Sequences and Genetic Algorithms for Estimating the Indoor Location of Wireless Sensors
Determining the indoor location is usually performed by using several sensors. Some of these sensors are fixed to a known location and either transmit or receive information that allows other sensors to estimate their own locations. The estimation of the location can use information such as the time...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/720574 |
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| _version_ | 1849766843939553280 |
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| author | M. Ferreira J. Bagarić Jose M. Lanza-Gutierrez S. Priem-Mendes J. S. Pereira Juan A. Gomez-Pulido |
| author_facet | M. Ferreira J. Bagarić Jose M. Lanza-Gutierrez S. Priem-Mendes J. S. Pereira Juan A. Gomez-Pulido |
| author_sort | M. Ferreira |
| collection | DOAJ |
| description | Determining the indoor location is usually performed by using several sensors. Some of these sensors are fixed to a known location and either transmit or receive information that allows other sensors to estimate their own locations. The estimation of the location can use information such as the time-of-arrival of the transmitted signals, or the received signal strength, among others. Major problems of indoor location include the interferences caused by the many obstacles in such cases, causing among others the signal multipath problem and the variation of the signal strength due to the many transmission media in the path from the emitter to the receiver. In this paper, the creation and usage of perfect sequences that eliminate the signal multipath problem are presented. It also shows the influence of the positioning of the fixed sensors to the precision of the location estimation. Finally, genetic algorithms were used for searching the optimal location of these fixed sensors, therefore minimizing the location estimation error. |
| format | Article |
| id | doaj-art-b00fdebdb43f4a91b6945105c333c672 |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-b00fdebdb43f4a91b6945105c333c6722025-08-20T03:04:27ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-04-011110.1155/2015/720574720574On the Use of Perfect Sequences and Genetic Algorithms for Estimating the Indoor Location of Wireless SensorsM. Ferreira0J. Bagarić1Jose M. Lanza-Gutierrez2S. Priem-Mendes3J. S. Pereira4Juan A. Gomez-Pulido5 Center for Research in Informatics and Communications, Polytechnic Institute of Leiria, 2411-901 Leiria, Portugal Instituto de Telecomunicações, Leiria Branch, 2411-901 Leiriah, Portugal Department of Technologies of Computers and Communications, Polytechnic School, University of Extremadura, 10003 Cáceres, Spain Center for Research in Informatics and Communications, Polytechnic Institute of Leiria, 2411-901 Leiria, Portugal Instituto de Telecomunicações, Leiria Branch, 2411-901 Leiriah, Portugal Department of Technologies of Computers and Communications, Polytechnic School, University of Extremadura, 10003 Cáceres, SpainDetermining the indoor location is usually performed by using several sensors. Some of these sensors are fixed to a known location and either transmit or receive information that allows other sensors to estimate their own locations. The estimation of the location can use information such as the time-of-arrival of the transmitted signals, or the received signal strength, among others. Major problems of indoor location include the interferences caused by the many obstacles in such cases, causing among others the signal multipath problem and the variation of the signal strength due to the many transmission media in the path from the emitter to the receiver. In this paper, the creation and usage of perfect sequences that eliminate the signal multipath problem are presented. It also shows the influence of the positioning of the fixed sensors to the precision of the location estimation. Finally, genetic algorithms were used for searching the optimal location of these fixed sensors, therefore minimizing the location estimation error.https://doi.org/10.1155/2015/720574 |
| spellingShingle | M. Ferreira J. Bagarić Jose M. Lanza-Gutierrez S. Priem-Mendes J. S. Pereira Juan A. Gomez-Pulido On the Use of Perfect Sequences and Genetic Algorithms for Estimating the Indoor Location of Wireless Sensors International Journal of Distributed Sensor Networks |
| title | On the Use of Perfect Sequences and Genetic Algorithms for Estimating the Indoor Location of Wireless Sensors |
| title_full | On the Use of Perfect Sequences and Genetic Algorithms for Estimating the Indoor Location of Wireless Sensors |
| title_fullStr | On the Use of Perfect Sequences and Genetic Algorithms for Estimating the Indoor Location of Wireless Sensors |
| title_full_unstemmed | On the Use of Perfect Sequences and Genetic Algorithms for Estimating the Indoor Location of Wireless Sensors |
| title_short | On the Use of Perfect Sequences and Genetic Algorithms for Estimating the Indoor Location of Wireless Sensors |
| title_sort | on the use of perfect sequences and genetic algorithms for estimating the indoor location of wireless sensors |
| url | https://doi.org/10.1155/2015/720574 |
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