Next Article in Journal
Intelligent Sensing in Dynamic Environments Using Markov Decision Process
Next Article in Special Issue
A Stereovision Matching Strategy for Images Captured with Fish-Eye Lenses in Forest Environments
Previous Article in Journal
Respiratory Monitoring by Porphyrin Modified Quartz Crystal Microbalance Sensors
Previous Article in Special Issue
Soil pH Mapping with an On-The-Go Sensor
Open AccessArticle

Developing a New Wireless Sensor Network Platform and Its Application in Precision Agriculture

Faculty of Telematics, University of Colima, Av. University 333, C. P. 28040, Colima, Col., Mexico
Faculty of Electrical and Mechanical Engineering, University of Colima, Coquimatlán-Colima, Km.2, Coquimatlán, Col., Mexico
SITELDI Solutions., Canarios 111, C. P. 28017, Colima, Col., Mexico
Author to whom correspondence should be addressed.
Sensors 2011, 11(1), 1192-1211;
Received: 20 December 2010 / Revised: 7 January 2011 / Accepted: 18 January 2011 / Published: 20 January 2011
(This article belongs to the Special Issue Sensors in Agriculture and Forestry)
Wireless sensor networks are gaining greater attention from the research community and industrial professionals because these small pieces of “smart dust” offer great advantages due to their small size, low power consumption, easy integration and support for “green” applications. Green applications are considered a hot topic in intelligent environments, ubiquitous and pervasive computing. This work evaluates a new wireless sensor network platform and its application in precision agriculture, including its embedded operating system and its routing algorithm. To validate the technological platform and the embedded operating system, two different routing strategies were compared: hierarchical and flat. Both of these routing algorithms were tested in a small-scale network applied to a watermelon field. However, we strongly believe that this technological platform can be also applied to precision agriculture because it incorporates a modified version of LORA-CBF, a wireless location-based routing algorithm that uses cluster-based flooding. Cluster-based flooding addresses the scalability concerns of wireless sensor networks, while the modified LORA-CBF routing algorithm includes a metric to monitor residual battery energy. Furthermore, results show that the modified version of LORA-CBF functions well with both the flat and hierarchical algorithms, although it functions better with the flat algorithm in a small-scale agricultural network. View Full-Text
Keywords: sensor networks; routing algorithm; technological platform; precision agriculture sensor networks; routing algorithm; technological platform; precision agriculture
MDPI and ACS Style

Aquino-Santos, R.; González-Potes, A.; Edwards-Block, A.; Virgen-Ortiz, R.A. Developing a New Wireless Sensor Network Platform and Its Application in Precision Agriculture. Sensors 2011, 11, 1192-1211.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Search more from Scilit
Back to TopTop