Agnelo R. Silva
ABSTRACT
Precision agriculture (PA) refers to a series of practices and tools necessary to correctly evaluate farming needs and a high density of soil sensors is an essential part of this effort. The accuracy and effectiveness of PA solutions are highly dependent on accurate and timely analysis of the soil conditions. Traditional soil measurements techniques, however, do not provide real-time data and hence, cannot fully satisfy these requirements. Moreover, the use of wired sensors, which usually must be installed and removed frequently, impacts the deployment of a high density of sensor nodes for a certain area. In this paper, a novel cyber-physical system (CPS) is developed through the integration of center pivot systems with wireless underground sensor networks, i.e., (CPS)2 for precision agriculture (PA). The Wireless Underground Sensor Networks (WUSNs) consist of wirelessly connected underground sensor nodes that communicate untethered through soil. A CP provides one of the highest efficient irrigation solutions for agriculture and the integration of WUSNs with the CP structure can provide autonomous irrigation capabilities that are driven by the physical world, i.e., conditions of the soil. However, the wireless communication channel for the soil-air path is significantly affected by many spatio-temporal aspects, such as the location and burial depth of the sensors, the soil texture and moisture, the vegetation canopy, and also the speed of the center pivot engine. Due to the high number of real-time parameters to be considered, a cyber-physical system (CPS) must be developed. In this paper, as a proof-of-concept, the results of empirical experiments with these components are provided. The main characteristics of a precision agriculture CPS are highlighted as a result of the experiments realized with a WUSN built on top of a real-life center pivot system. The experiment results show that the concept of (CPS)2 is feasible and can be made highly reliable using commodity wireless sensor motes. Moreover, it is shown that the realization of (CPS)2 requires non-trivial management due to stochastic real-time communication constraints. Accordingly, guidelines for the development of an efficient (CPS)2 solution are provided. To the best of our knowledge, this is the first work that considers a CPS solution based on WUSNs for precision agriculture.
- I. F. Akyildiz and E. P. Stuntebeck. Wireless underground sensor networks: Research challenges. Ad Hoc Networks Journal (Elsevier), 4:669--686, July 2006.Google Scholar
Cross Ref
- I. F. Akyildiz, Z. Sun, and M. C. Vuran. Signal propagation techniques for wireless underground communication networks. Physical Communication Journal (Elsevier), 2(3):167--183, Sept. 2009. Google ScholarDigital Library
- H. M. Al-Ghobari. Effect of maintenance on the performance of sprinkler irrigation systems and irrigation water conservation. Technical Report Res. Bult. 141, Food Sci. & Agric. Res. Center, King Saud Univ., 2006.Google Scholar
- H. R. Bogena, J. A. Huismana, H. Meierb, U. Rosenbauma, and A. Weuthena. Hybrid wireless underground sensor networks: Quantification of signal attenuation in soil. Vadose Zone Journal, 8(3):755--761, August 2009.Google ScholarCross Ref
- H. D. Foth. Fundamentals of Soil Science. John Wiley & Sons, 8 edition, 1990.Google Scholar
- J. Giacomin and F. Vasconcelos. Wireless sensor network as a measurement tool in precision agriculture. In In Proc. XVIII IMEKO World Congress - Metrology for a Sustainable Development, Rio de Janeiro, Brazil, September 2006.Google Scholar
- L. Li, M. C. Vuran, and I. F. Akyildiz. Characteristics of underground channel for wireless underground sensor networks. In Proc. Med-Hoc-Net Š07, Corfu, Greece, June 2007.Google Scholar
- A. Phocaides. Handbook on pressurized irrigation techniques. Food and Agriculture Organization of the United Nations, Rome, Italy, 2 edition, 2007.Google Scholar
- J. Powell and A. Chandrakasan. Differential and single ended elliptical antennas for 3.1--10.6 Ghz ultra wideband communication. In Antennas and Propagation Society International Symposium, volume 2, Sendai, Japan, August 2004.Google ScholarCross Ref
- L. Sha, S. Gopalakrishnan, X. Liu, and Q. Wang. Cyber-physical systems: A new frontier. In Proc. IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC 2008), Taichung, Taiwan, June 2008. Google ScholarDigital Library
- A. R. Silva and M. C. Vuran. Empirical evaluation of wireless underground-to-underground communication in wireless underground sensor networks. In Proc. IEEE DCOSS '09, Marina Del Rey, CA, June 2009. Google ScholarDigital Library
- A. R. Silva and M. C. Vuran. Commmunication with aboveground devices in wireless underground sensor networks: An empirical study. In to appear in Proc. IEEE ICC '10, Cape Town, South Africa, May 2010.Google Scholar
- A. R. Silva and M. C. Vuran. Development of a Testbed for Wireless Underground Sensor Networks. EURASIP Journal on Wireless Communications and Networking, 2010. Google ScholarDigital Library
- Z. Sun and I. F. Akyildiz. Channel modeling of wireless networks in tunnels. In Proc. IEEE Globecom '08, New Orleans, USA, November 2008.Google ScholarCross Ref
- A. Tavakoli, K. Sarabandi, and F. T. Ulaby. Horizontal propagation through periodic vegetation canopies. IEEE Transactions on Antennas and Propagation, AP-39(7):1014--1023, July 1991.Google ScholarCross Ref
- M. J. Tiusanen. Attenuation of a Soil Scout radio signal. Biosystems Engineering, 90(2):127--133, January 2005.Google ScholarCross Ref
- M. J. Tiusanen. Wideband antenna for underground Soil Scout transmission. IEEE Antennas and Wireless Propagation Letters, 5(1):517--519, December 2006.Google ScholarCross Ref
- M. J. Tiusanen. Wireless Soil Scout prototype radio signal reception compared to the attenuation model. Precision Agriculture, 10(5):372--381, November 2008.Google ScholarCross Ref
- F. Wagner. VFSM executable specification. In Proceedings of the IEEE International Conference on Computer System and Software Engineering, pages 226--231, The Hague, The Netherlands, 1992.Google ScholarCross Ref
- M. Zuniga and B. Krishnamachari. Analyzing the transitional region in low power wireless links. In Proc. IEEE SECON '04, Santa Clara, CA, October 2004.Google ScholarCross Ref
- Crossbow Mica2, Micaz, and IRIS motes. http://www.xbow.com.Google Scholar
- Ward Laboratories. http://wardlab.com.Google Scholar
Index Terms
- (CPS)^2: integration of center pivot systems with wireless underground sensor networks for autonomous precision agriculture
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