A node and network level self-healing distributed wireless sensor architecture for greenhouse based plant monitoring systems

Gregory M. Striemer, David Lee Story, Ali Akoglu, Murat Kacira

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Visual Sensor Networks (VSN) has emerged as a new paradigm by giving a sensor the capability to perceive and analyze its surrounding. Creating an environment of "no doubt" is essential for a contact free plant monitoring system in a greenhouse environment equipped with VSN. Methods to monitor a system's health, and respond to hardware anomalies automatically are essential. With reconfigurable devices, such as Field Programmable Gate Arrays (FPGAs), designers are provided with a seductive tool to use as a basis for adopting the hardware's configuration to the needs of the application. In this study, we designed a distributed wireless architecture with self-configuration capability at network level and fault recovery capability at node level in the context of image processing algorithms (Discrete Cosine, Discrete Wavelet Transforms, and Color Space Conversion). The experimental results showed that the test bed comprised of wirelessly connected Xilinx Virtex5 FPGAs is able to achieve node level fault detection and healing within 2.18 seconds and network level healing in 5.43 seconds. The application of the proposed architecture in greenhouse based plant production is significant towards building a robust system for monitoring and sensing the climate conditions and plant status. Developing adaptive plant-response based climate control strategies in controlled environment plant production will also considerably contribute to resource savings (i.e. water, nutrients, and energy).

Original languageEnglish (US)
Title of host publicationAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010
PublisherAmerican Society of Agricultural and Biological Engineers
Pages4800-4811
Number of pages12
Volume6
ISBN (Print)9781617388354
StatePublished - 2010

Fingerprint

sensors (equipment)
greenhouses
monitoring
climate
Air Conditioning
Controlled Environment
Wavelet Analysis
plant response
Climate
image analysis
Color
color
energy
nutrients
Food
Equipment and Supplies
Water
Health
water
testing

Keywords

  • Crop monitoring
  • Field programmable gate arrays
  • Greenhouse
  • Visual sensor networks
  • Wireless sensors

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)

Cite this

Striemer, G. M., Story, D. L., Akoglu, A., & Kacira, M. (2010). A node and network level self-healing distributed wireless sensor architecture for greenhouse based plant monitoring systems. In American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010 (Vol. 6, pp. 4800-4811). American Society of Agricultural and Biological Engineers.

A node and network level self-healing distributed wireless sensor architecture for greenhouse based plant monitoring systems. / Striemer, Gregory M.; Story, David Lee; Akoglu, Ali; Kacira, Murat.

American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010. Vol. 6 American Society of Agricultural and Biological Engineers, 2010. p. 4800-4811.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Striemer, GM, Story, DL, Akoglu, A & Kacira, M 2010, A node and network level self-healing distributed wireless sensor architecture for greenhouse based plant monitoring systems. in American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010. vol. 6, American Society of Agricultural and Biological Engineers, pp. 4800-4811.
Striemer GM, Story DL, Akoglu A, Kacira M. A node and network level self-healing distributed wireless sensor architecture for greenhouse based plant monitoring systems. In American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010. Vol. 6. American Society of Agricultural and Biological Engineers. 2010. p. 4800-4811
Striemer, Gregory M. ; Story, David Lee ; Akoglu, Ali ; Kacira, Murat. / A node and network level self-healing distributed wireless sensor architecture for greenhouse based plant monitoring systems. American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010. Vol. 6 American Society of Agricultural and Biological Engineers, 2010. pp. 4800-4811
@inproceedings{e9d7e96a69db49ff8ea47f449fdc7999,
title = "A node and network level self-healing distributed wireless sensor architecture for greenhouse based plant monitoring systems",
abstract = "Visual Sensor Networks (VSN) has emerged as a new paradigm by giving a sensor the capability to perceive and analyze its surrounding. Creating an environment of {"}no doubt{"} is essential for a contact free plant monitoring system in a greenhouse environment equipped with VSN. Methods to monitor a system's health, and respond to hardware anomalies automatically are essential. With reconfigurable devices, such as Field Programmable Gate Arrays (FPGAs), designers are provided with a seductive tool to use as a basis for adopting the hardware's configuration to the needs of the application. In this study, we designed a distributed wireless architecture with self-configuration capability at network level and fault recovery capability at node level in the context of image processing algorithms (Discrete Cosine, Discrete Wavelet Transforms, and Color Space Conversion). The experimental results showed that the test bed comprised of wirelessly connected Xilinx Virtex5 FPGAs is able to achieve node level fault detection and healing within 2.18 seconds and network level healing in 5.43 seconds. The application of the proposed architecture in greenhouse based plant production is significant towards building a robust system for monitoring and sensing the climate conditions and plant status. Developing adaptive plant-response based climate control strategies in controlled environment plant production will also considerably contribute to resource savings (i.e. water, nutrients, and energy).",
keywords = "Crop monitoring, Field programmable gate arrays, Greenhouse, Visual sensor networks, Wireless sensors",
author = "Striemer, {Gregory M.} and Story, {David Lee} and Ali Akoglu and Murat Kacira",
year = "2010",
language = "English (US)",
isbn = "9781617388354",
volume = "6",
pages = "4800--4811",
booktitle = "American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010",
publisher = "American Society of Agricultural and Biological Engineers",

}

TY - GEN

T1 - A node and network level self-healing distributed wireless sensor architecture for greenhouse based plant monitoring systems

AU - Striemer, Gregory M.

AU - Story, David Lee

AU - Akoglu, Ali

AU - Kacira, Murat

PY - 2010

Y1 - 2010

N2 - Visual Sensor Networks (VSN) has emerged as a new paradigm by giving a sensor the capability to perceive and analyze its surrounding. Creating an environment of "no doubt" is essential for a contact free plant monitoring system in a greenhouse environment equipped with VSN. Methods to monitor a system's health, and respond to hardware anomalies automatically are essential. With reconfigurable devices, such as Field Programmable Gate Arrays (FPGAs), designers are provided with a seductive tool to use as a basis for adopting the hardware's configuration to the needs of the application. In this study, we designed a distributed wireless architecture with self-configuration capability at network level and fault recovery capability at node level in the context of image processing algorithms (Discrete Cosine, Discrete Wavelet Transforms, and Color Space Conversion). The experimental results showed that the test bed comprised of wirelessly connected Xilinx Virtex5 FPGAs is able to achieve node level fault detection and healing within 2.18 seconds and network level healing in 5.43 seconds. The application of the proposed architecture in greenhouse based plant production is significant towards building a robust system for monitoring and sensing the climate conditions and plant status. Developing adaptive plant-response based climate control strategies in controlled environment plant production will also considerably contribute to resource savings (i.e. water, nutrients, and energy).

AB - Visual Sensor Networks (VSN) has emerged as a new paradigm by giving a sensor the capability to perceive and analyze its surrounding. Creating an environment of "no doubt" is essential for a contact free plant monitoring system in a greenhouse environment equipped with VSN. Methods to monitor a system's health, and respond to hardware anomalies automatically are essential. With reconfigurable devices, such as Field Programmable Gate Arrays (FPGAs), designers are provided with a seductive tool to use as a basis for adopting the hardware's configuration to the needs of the application. In this study, we designed a distributed wireless architecture with self-configuration capability at network level and fault recovery capability at node level in the context of image processing algorithms (Discrete Cosine, Discrete Wavelet Transforms, and Color Space Conversion). The experimental results showed that the test bed comprised of wirelessly connected Xilinx Virtex5 FPGAs is able to achieve node level fault detection and healing within 2.18 seconds and network level healing in 5.43 seconds. The application of the proposed architecture in greenhouse based plant production is significant towards building a robust system for monitoring and sensing the climate conditions and plant status. Developing adaptive plant-response based climate control strategies in controlled environment plant production will also considerably contribute to resource savings (i.e. water, nutrients, and energy).

KW - Crop monitoring

KW - Field programmable gate arrays

KW - Greenhouse

KW - Visual sensor networks

KW - Wireless sensors

UR - http://www.scopus.com/inward/record.url?scp=78649712983&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78649712983&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781617388354

VL - 6

SP - 4800

EP - 4811

BT - American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010

PB - American Society of Agricultural and Biological Engineers

ER -