Multi-layer perceptrons to reduce ground reflection effect in real-time locating systems
Nowadays, indoor Real-Time Locating Systems represent one of the most exciting applications based on Wireless Sensor Networks using wireless technologies such as Wi-Fi or ZigBee. Indoor Real-Time Locating Systems based on Wireless Sensor Networks use different measurements from radio frequency signa...
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| Other Authors: | , , , , |
| Format: | article |
| Language: | English |
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2018
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| Online Access: | http://www.ceser.in/ceserp/index.php/ijai/article/view/2368 http://ridda2.utp.ac.pa/handle/123456789/4880 |
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| _version_ | 1869652471393026048 |
|---|---|
| author | Tapia, Dante |
| author2 | De Paz, Juan Pinzón Trejos, Cristian Bajo, Javier Alonso, Ricardo Corchado, Juan |
| author2_role | author author author author author |
| author_browse | Alonso, Ricardo Bajo, Javier Corchado, Juan De Paz, Juan Pinzón Trejos, Cristian Tapia, Dante |
| author_facet | Tapia, Dante De Paz, Juan Pinzón Trejos, Cristian Bajo, Javier Alonso, Ricardo Corchado, Juan |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Tapia, Dante De Paz, Juan Pinzón Trejos, Cristian Bajo, Javier Alonso, Ricardo Corchado, Juan |
| dc.date.none.fl_str_mv | 01/26/2012 01/26/2012 2018-06-06T20:15:09Z 2018-06-06T20:15:09Z 2018-06-06T20:15:09Z 2018-06-06T20:15:09Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://www.ceser.in/ceserp/index.php/ijai/article/view/2368 0974-0635 http://ridda2.utp.ac.pa/handle/123456789/4880 http://ridda2.utp.ac.pa/handle/123456789/4880 |
| dc.language.none.fl_str_mv | eng eng |
| dc.rights.none.fl_str_mv | https://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | Wireless Sensor Networks Real-Time Location Systems Ground Reflection Effect Artificial Neural Networks Multi-Layer Perceptrons Wireless Sensor Networks Real-Time Location Systems Ground Reflection Effect Artificial Neural Networks Multi-Layer Perceptrons |
| dc.title.none.fl_str_mv | Multi-layer perceptrons to reduce ground reflection effect in real-time locating systems |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | Nowadays, indoor Real-Time Locating Systems represent one of the most exciting applications based on Wireless Sensor Networks using wireless technologies such as Wi-Fi or ZigBee. Indoor Real-Time Locating Systems based on Wireless Sensor Networks use different measurements from radio frequency signals such as Received Signal Strength Indication (RSSI) levels in order to estimate distances between reference nodes and the devices to be located. In ideal conditions, the modeling of the relationship between RSSI levels and distances between antennas has a decaying exponential shape. Nevertheless, radio frequency waves used by indoor Real-Time Locating Systems can be affected by different undesired propagation effects, such as attenuation, diffraction, reflection and scattering, which can lead to multipath effect. In this sense, this paper presents a novel mathematical model based on Multi-Layer Perceptrons for reducing the ground reflection effect, a kind of multipath effect, in indoor Real-Time Locating Systems. Presented results demonstrate that the use of Multi-Layer Perceptrons to forecast distances from RSSI levels allows reducing the ground reflection effect that occurs when considering only the current RSSI measurement. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | lrtest_9b4fcd814f35ec4b1b37e86beab093da |
| identifier_str_mv | 0974-0635 |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/4880 |
| publishDate | 2018 |
| publishDateSort | 2018 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | https://creativecommons.org/licenses/by-nc-sa/4.0/ |
| spelling | Multi-layer perceptrons to reduce ground reflection effect in real-time locating systemsTapia, DanteDe Paz, JuanPinzón Trejos, CristianBajo, JavierAlonso, RicardoCorchado, JuanWireless Sensor NetworksReal-Time Location SystemsGround Reflection EffectArtificial Neural NetworksMulti-Layer PerceptronsWireless Sensor NetworksReal-Time Location SystemsGround Reflection EffectArtificial Neural NetworksMulti-Layer PerceptronsNowadays, indoor Real-Time Locating Systems represent one of the most exciting applications based on Wireless Sensor Networks using wireless technologies such as Wi-Fi or ZigBee. Indoor Real-Time Locating Systems based on Wireless Sensor Networks use different measurements from radio frequency signals such as Received Signal Strength Indication (RSSI) levels in order to estimate distances between reference nodes and the devices to be located. In ideal conditions, the modeling of the relationship between RSSI levels and distances between antennas has a decaying exponential shape. Nevertheless, radio frequency waves used by indoor Real-Time Locating Systems can be affected by different undesired propagation effects, such as attenuation, diffraction, reflection and scattering, which can lead to multipath effect. In this sense, this paper presents a novel mathematical model based on Multi-Layer Perceptrons for reducing the ground reflection effect, a kind of multipath effect, in indoor Real-Time Locating Systems. Presented results demonstrate that the use of Multi-Layer Perceptrons to forecast distances from RSSI levels allows reducing the ground reflection effect that occurs when considering only the current RSSI measurement.Nowadays, indoor Real-Time Locating Systems represent one of the most exciting applications based on Wireless Sensor Networks using wireless technologies such as Wi-Fi or ZigBee. Indoor Real-Time Locating Systems based on Wireless Sensor Networks use different measurements from radio frequency signals such as Received Signal Strength Indication (RSSI) levels in order to estimate distances between reference nodes and the devices to be located. In ideal conditions, the modeling of the relationship between RSSI levels and distances between antennas has a decaying exponential shape. Nevertheless, radio frequency waves used by indoor Real-Time Locating Systems can be affected by different undesired propagation effects, such as attenuation, diffraction, reflection and scattering, which can lead to multipath effect. In this sense, this paper presents a novel mathematical model based on Multi-Layer Perceptrons for reducing the ground reflection effect, a kind of multipath effect, in indoor Real-Time Locating Systems. Presented results demonstrate that the use of Multi-Layer Perceptrons to forecast distances from RSSI levels allows reducing the ground reflection effect that occurs when considering only the current RSSI measurement.2018-06-06T20:15:09Z2018-06-06T20:15:09Z2018-06-06T20:15:09Z2018-06-06T20:15:09Z01/26/201201/26/2012info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.ceser.in/ceserp/index.php/ijai/article/view/23680974-0635http://ridda2.utp.ac.pa/handle/123456789/4880http://ridda2.utp.ac.pa/handle/123456789/4880engenghttps://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/48802021-07-06T15:35:06Z |
| spellingShingle | Multi-layer perceptrons to reduce ground reflection effect in real-time locating systems Tapia, Dante Wireless Sensor Networks Real-Time Location Systems Ground Reflection Effect Artificial Neural Networks Multi-Layer Perceptrons Wireless Sensor Networks Real-Time Location Systems Ground Reflection Effect Artificial Neural Networks Multi-Layer Perceptrons |
| status_str | publishedVersion |
| title | Multi-layer perceptrons to reduce ground reflection effect in real-time locating systems |
| title_full | Multi-layer perceptrons to reduce ground reflection effect in real-time locating systems |
| title_fullStr | Multi-layer perceptrons to reduce ground reflection effect in real-time locating systems |
| title_full_unstemmed | Multi-layer perceptrons to reduce ground reflection effect in real-time locating systems |
| title_short | Multi-layer perceptrons to reduce ground reflection effect in real-time locating systems |
| title_sort | Multi-layer perceptrons to reduce ground reflection effect in real-time locating systems |
| topic | Wireless Sensor Networks Real-Time Location Systems Ground Reflection Effect Artificial Neural Networks Multi-Layer Perceptrons Wireless Sensor Networks Real-Time Location Systems Ground Reflection Effect Artificial Neural Networks Multi-Layer Perceptrons |
| url | http://www.ceser.in/ceserp/index.php/ijai/article/view/2368 http://ridda2.utp.ac.pa/handle/123456789/4880 |