Multi-layer perceptrons to reduce ground reflection effect in real-time locating systems

 

Authors

Tapia, Dante; De Paz, Juan; Pinzón Trejos, Cristian; Bajo, Javier; Alonso, Ricardo; Corchado, Juan

Format

Article

Status

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.
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.

Publication Year

2018

Language

eng

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

Repository

RI de Documento Digitales de Acceso Abierto de la UTP

Get full text

http://www.ceser.in/ceserp/index.php/ijai/article/view/2368
http://ridda2.utp.ac.pa/handle/123456789/4880

Rights

openAccess

License

https://creativecommons.org/licenses/by-nc-sa/4.0/