Redes inalámbricas de sensores eficientes para la agorindustria
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ISSN: 2076-8133
E-ISSN: 2312-637X
Sección
Actualidad Tecnológica
Actualidad Tecnológica
Esta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial-SinObrasDerivadas 4.0.
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Enviado:
Aug 9, 2016
Publicado: Aug 9, 2016
Publicado: Aug 9, 2016
Resumen
Una red de sensores inalámbrica permite medir ciertos parámetros y cambios en características físicas como la temperatura y la humedad, así como también controlar, de cierta forma, estos parámetros con el fin de mejorar y facilitar el manejo de cualquier actividad a la que sean aplicadas, entre ellas, la agroindustria. Una de las grandes limitantes en estas redes son sus fuentes de energía, ya que los sensores deben ser dispositivos pequeños, por lo que existe un gran interés en buscar técnicas para el uso eficiente de la energía, uso de energías renovables como medio de alimentación en los sensores y aplicación del muestreo compresivo, el cual permite obtener suficiente información utilizando menos sensores que con los métodos convencionales.
Palabras clave
muestreo compresivo, WSN, eficiencia energética, agroindustria.Descargas
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Cómo citar
Cedeño, J., Zambrano, M., & Medina, C. (2016). Redes inalámbricas de sensores eficientes para la agorindustria. Prisma Tecnológico, 5(1), 22-25. Recuperado a partir de https://revistas.utp.ac.pa/index.php/prisma/article/view/518
Citas
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[2] A. Abbasi, N. Islam & Z. Shaikh, “A review of wireless sensors and networks’ applications in agriculture”. Computer Standards & Interfaces, 36(2), 263-270. 2014.
[3] R. Bongiovanni, J. Lowenber, “Precision Agriculture and Sustainability”. In Precision Agriculture, 5(4), 359-387, 2004.
[4] S. Yoo, J. Kim, T. Kim, S. Ahn, J. Sung & D. Kim, “A 2 S: automated agriculture system based on WSN”. IEEE International Symposium on Consumer Electronics (ISCE 2007), pp. 1-5, June, 2007.
[5]IIIIA. Nayak, G. Prakash & A. Rao, “Harnessing wind energy to power sensor networks for agriculture”. 2014 IEEE International Conference on Advances in Energy Conversion Technologies (ICAECT), pp. 221-226, January, 2014.
[6] L. Ruiz-Garcia, L. Lunadei, P. Barreiro & I. Robla, “A review of wireless sensor technologies and applications in agriculture and food industry: state of the art and current trends”. Sensors, 9(6), 4728-4750. 2009.
[7] A. Murillo, M. Pen & D. Martínez, “Applications of WSN in health and agriculture”. In Communications Conference (COLCOM), 2012 IEEE Colombian, pp. 1-6, May, 2012.
[8] J. Romo-Leon, W. van Leeuwen & A. Castellanos-Villegas, “Using remote sensing tools to assess land use transitions in unsustainable arid agro-ecosystems”. Journal of Arid Environments, 106, 27-35. 2014.
[9] N. Sakthipriya, “An Effective Method for Crop Monitoring Using Wireless Sensor Network”. Middle-East Journal of Scientific Research, 19(11), 1546-1548. 2014.
[10] R. Handcock, D. Swain, G. Bishop-Hurley, K. Patison, T. Wark, P. Valencia & C. O’Neill, “Monitoring animal behavior and environmental interactions using wireless sensor networks, GPS collars and satellite remote sensing”. Sensors, 9(5), 3586- 3603. 2009.
[11] M. Razzaque, S. Dobson, “Energy-Efficient Sensing in Wireless Sensor Networks Using Compressed Sensing”. Sensors, 14(2), 2822-2859. 2014.
[12] F. Fazel, M. Fazel & M. Stojanovic, “Random access compressed sensing for energy-efficient underwater sensor networks”, IEEE Journal on Selected Areas in Communications, 29(8), pp. 1660-1670, 2011.
[13] S. Mohanty, E. Kougianos, “Biosensors: a tutorial review”. Potentials, IEEE, 25(2), 35-40. 2014.
[14] Y. Chai, et al. “Design of a surface-scanning coil detector for direct bacteria detection on food surfaces using a magnetoelastic biosensor.” Journal of Applied Physics 114.10 (2013): 104504.
[15] S. Li, Y. Li, H. Chen, S. Horikawa, W. Shen, A. Simonian & B. Chin, “Direct detection of< i> Salmonella typhimurium on fresh produce using phage-based magnetoelastic biosensors. Biosensors and Bioelectronics,26(4), pp. 1313-1319,