Wireless sensor network deployment for integrating video-surveillance and data-monitoring in precision agriculture over distributed crops

  • Authors:
  • Antonio-Javier Garcia-Sanchez;Felipe Garcia-Sanchez;Joan Garcia-Haro

  • Affiliations:
  • Department of Information and Communication Technologies, Technical University of Cartagena, Campus Muralla del Mar, E-30202, Cartagena, Spain;Department of Information and Communication Technologies, Technical University of Cartagena, Campus Muralla del Mar, E-30202, Cartagena, Spain;Department of Information and Communication Technologies, Technical University of Cartagena, Campus Muralla del Mar, E-30202, Cartagena, Spain

  • Venue:
  • Computers and Electronics in Agriculture
  • Year:
  • 2011

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Abstract

Monitoring different parameters of interest in a crop has been proven as a useful tool to improve agricultural production. Crop monitoring in precision agriculture may be achieved by a multiplicity of technologies; however the use of Wireless Sensor Networks (WSNs) results in low-cost and low-power consumption deployments, therefore becoming a dominant option. It is also well-known that crops are also negatively affected by intruders (human or animals) and by insufficient control of the production process. Video-surveillance is a solution to detect and identify intruders as well as to better take care of the production process. In this paper, a new platform called Integrated WSN Solution for Precision Agriculture is proposed. The only cost-effective technology employed is IEEE 802.15.4, and it efficiently integrates crop data acquisition, data transmission to the end-user and video-surveillance tasks. This platform has been evaluated for the particular scenario of scattered crops video-surveillance by using computer simulation and analysis. The telecommunications metrics of choice are energy consumed, probability of frame collision and end-to-end latency, which have been carefully studied to offer the most appropriate wireless network operation. Wireless node prototypes providing agriculture data monitoring, motion detection, camera sensor and long distance data transmission (in the order of several kilometers) are developed. The performance evaluation of this real tests-bed scenario demonstrates the feasibility of the platform designed and confirms the simulation and analytical results.