Parameter Optimization of a Temperature and Relative Humidity Based Transmission Power Control Scheme for Wireless Sensor Networks
We present refinements of a novel transmission power control (TPC) algorithm based on temperature and relative humidity (TRH). Previously, we deployed a prototype TRH TPC algorithm on wireless sensor nodes operating in real harsh environmental conditions and reported promising results. Since then, w...
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doaj-1e10188c16f44c15af368e70bcb52a902020-11-25T03:28:29ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-07-011110.1155/2015/921319921319Parameter Optimization of a Temperature and Relative Humidity Based Transmission Power Control Scheme for Wireless Sensor NetworksCésar Ortega-Corral0Luis E. Palafox1J. Antonio García-Macías2Jaime Sánchez-García3Leocundo Aguilar4Juan Iván Nieto-Hipólito5 Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma de Baja Californía, Calzada Tecnológico 14418, Mesa de Otay, 22390 Tijuana, BC, Mexico Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma de Baja Californía, Calzada Tecnológico 14418, Mesa de Otay, 22390 Tijuana, BC, Mexico Departamento de Ciencias de la Computación, Centro de Investigación Científica y de Educación Superior de Ensenada, Carretera Ensenada-Tijuana No. 3918, Zona Playitas, 22860 Ensenada, BC, Mexico Departamento de Electrónica y Telecomunicaciones, Centro de Investigación Científica y de Educación Superior de Ensenada, Carretera Ensenada-Tijuana No. 3918, Zona Playitas, 22860 Ensenada, BC, Mexico Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma de Baja Californía, Calzada Tecnológico 14418, Mesa de Otay, 22390 Tijuana, BC, Mexico Facultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Km 103, Carretera Tijuana-Ensenada, 22860 Ensenada, BC, MexicoWe present refinements of a novel transmission power control (TPC) algorithm based on temperature and relative humidity (TRH). Previously, we deployed a prototype TRH TPC algorithm on wireless sensor nodes operating in real harsh environmental conditions and reported promising results. Since then, we have made enhancements of the TRH TPC model, which we will show here. Furthermore, in order to develop an understanding of the nonlinear behavior that we observed from this TRH TPC scheme, we developed a simulation platform that uses real radio frequency (RF) signal and interference samples and actual T and RH sensor data acquired simultaneously. Afterwards, we logged results of repeated experiments and determined the algorithms operating ranges and behaviors, varying its main parameters, such as (1) its gain factor, (2) the average time period to recalculate power level updates, and (3) proper received signal threshold selection. We then summarize optimal parameter ranges from the analytical results that reflect where this TRH TPC technique works best. And finally, we report results of the TRH TPC algorithm running on long range WSN systems deployed in harsh environmental conditions, corroborating behaviors observed through simulation.https://doi.org/10.1155/2015/921319 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
César Ortega-Corral Luis E. Palafox J. Antonio García-Macías Jaime Sánchez-García Leocundo Aguilar Juan Iván Nieto-Hipólito |
spellingShingle |
César Ortega-Corral Luis E. Palafox J. Antonio García-Macías Jaime Sánchez-García Leocundo Aguilar Juan Iván Nieto-Hipólito Parameter Optimization of a Temperature and Relative Humidity Based Transmission Power Control Scheme for Wireless Sensor Networks International Journal of Distributed Sensor Networks |
author_facet |
César Ortega-Corral Luis E. Palafox J. Antonio García-Macías Jaime Sánchez-García Leocundo Aguilar Juan Iván Nieto-Hipólito |
author_sort |
César Ortega-Corral |
title |
Parameter Optimization of a Temperature and Relative Humidity Based Transmission Power Control Scheme for Wireless Sensor Networks |
title_short |
Parameter Optimization of a Temperature and Relative Humidity Based Transmission Power Control Scheme for Wireless Sensor Networks |
title_full |
Parameter Optimization of a Temperature and Relative Humidity Based Transmission Power Control Scheme for Wireless Sensor Networks |
title_fullStr |
Parameter Optimization of a Temperature and Relative Humidity Based Transmission Power Control Scheme for Wireless Sensor Networks |
title_full_unstemmed |
Parameter Optimization of a Temperature and Relative Humidity Based Transmission Power Control Scheme for Wireless Sensor Networks |
title_sort |
parameter optimization of a temperature and relative humidity based transmission power control scheme for wireless sensor networks |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2015-07-01 |
description |
We present refinements of a novel transmission power control (TPC) algorithm based on temperature and relative humidity (TRH). Previously, we deployed a prototype TRH TPC algorithm on wireless sensor nodes operating in real harsh environmental conditions and reported promising results. Since then, we have made enhancements of the TRH TPC model, which we will show here. Furthermore, in order to develop an understanding of the nonlinear behavior that we observed from this TRH TPC scheme, we developed a simulation platform that uses real radio frequency (RF) signal and interference samples and actual T and RH sensor data acquired simultaneously. Afterwards, we logged results of repeated experiments and determined the algorithms operating ranges and behaviors, varying its main parameters, such as (1) its gain factor, (2) the average time period to recalculate power level updates, and (3) proper received signal threshold selection. We then summarize optimal parameter ranges from the analytical results that reflect where this TRH TPC technique works best. And finally, we report results of the TRH TPC algorithm running on long range WSN systems deployed in harsh environmental conditions, corroborating behaviors observed through simulation. |
url |
https://doi.org/10.1155/2015/921319 |
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