Numerical Terrain Modelling for Wireless Underground Sensor Networks

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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VOLUME 7 , ISSUE 5 (December 2014) > List of articles

Special issue ICST 2014

Numerical Terrain Modelling for Wireless Underground Sensor Networks

Vinod Parameswaran / Zhongwei Zhang / Hong Zhou

Keywords : component; Wireless Underground Sensor Network (WUSN); Distributed Sensing; terrain modelling; Digital Elevation Model (DEM); numerical methods; nut tree plantation; MATLAB

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 5, Pages 1-5, DOI: https://doi.org/10.21307/ijssis-2019-048

License : (CC BY-NC-ND 4.0)

Published Online: 15-February-2020

ARTICLE

ABSTRACT

Underground terrain poses a highly intricate and challenging environment to the propagation of waves carrying information from sensor to the sink nodes.  Due to the complexity and level of detail, it is often difficult to realistically model such an environment for conducting tests. However, using numerical methods, the environment characteristics could be translated to a compatible framework, for testing complex networking models such as Wireless Underground Sensor Network (WUSN). Such transformation should lend the necessary clarity and simplicity required for effective problem analysis. In this paper, we demonstrate this possibility using the typical underground terrain environment for nut tree plantations, basing the field data on a full-fledged commercial pecan farm.  The results shown are introductory to ongoing research on the effective use of such numerical methods for maximum power efficiency and bit rate for distributed WUSN, and optimum water usage in irrigation control. This paper forms a sequel to previous related research publications.

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REFERENCES

[1] Akyildiz, I. F., & Stuntebeck, E. P. (2006). Wireless underground sensor networks: Research challenges. Ad Hoc Networks, 4(6), 669-686.

[2] Vuran, M. C., & Akyildiz, I. F. (2010). Channel model and analysis for wireless underground sensor networks in soil medium. Physical Communication, 3(4), 245-254.

[3] Sun, Z., & Akyildiz, I. F. (2010). Magnetic induction communications for wireless underground sensor networks. Antennas and Propagation, IEEE Transactions on, 58(7), 2426-2435.

[4] Sun, Z., & Akyildiz, I. (2013). Optimal Deployment for Magnetic Induction-Based Wireless Networks in Challenged Environments.

[5] Santamaría-Ibirika, A., Cantero, X., Salazar, M., Devesa, J., & Bringas, P. G. (2013, October). Volumetric Virtual Worlds with Layered Terrain Generation. In Cyberworlds (CW), 2013 International Conference on (pp. 20-27). IEEE.

[6] Yang, W., & Wu, S. (2013, November). Data Modeling and Visualization of Guangzhou Underground Space. In Information Technology and Applications (ITA), 2013 International Conference on (pp. 343-347). IEEE.

[7] Jayaram, M. N., & Venugopal, C. R. (2014, January). ModelingSimulation of an Underground Wireless Communication Channel. In Proceedings of International Conference on Internet Computing and Information Communications (pp. 81-91). Springer India.

[8] Silva, A. R., & Vuran, M. C. (2009). Empirical evaluation of wireless underground-to-underground communication in wireless underground sensor networks. In Distributed Computing in Sensor Systems (pp. 231244). Springer Berlin Heidelberg.

[9] Bogena, H. R., Huisman, J. A., Meier, H., Rosenbaum, U., & Weuthen, A. (2009). Hybrid wireless underground sensor networks: Quantification of signal attenuation in soil. Vadose Zone Journal, 8(3), 755-761.

[10] Parameswaran, V., Zhou, H., & Zhang, Z. (2012, December). Irrigation control using wireless underground sensor networks. In Sensing Technology (ICST), 2012 Sixth International Conference on (pp. 653659). IEEE

[11] Parameswaran, V.; Zhou, H; Zhang, Z. ((2013, December) Wireless underground sensor network design for irrigation control: Simulation of RFID deployment. In Sensing Technology (ICST), 2013 Seventh International Conference on (pp.842-849). IEEE.

[12] Andersen, P.C. and T.E. Crocker. (2008) The pecan tree. Univ. of FL EDIS publication HS 982. (17 pp). Retrieved from http://edis.ifas.ufl.edu/hs229  

[13] Australian Macademias. (2012). 2007 Benchmarking report - The Australian macadamia industry 2009 to 2012 seasons Project: MC09001 Retrieved from http://www.australian-macadamias.org/item/6646-latestbenchmarking-report-released

[14] Tree Plantation (2002). Nut Trees. Retrieved from http://www.treeplantation.com/nut-trees.html 

[15] Mitášová, H., & Hofierka, J. (1993). Interpolation by regularized spline with tension: II. Application to terrain modeling and surface geometry analysis. Mathematical Geology, 25(6), 657-669.

[16] Erskine, R. H., Green, T. R., Ramirez, J. A., & MacDonald, L. H. (2007). Digital elevation accuracy and grid cell size: Effects on estimated terrain attributes. Soil Science Society of America Journal, 71(4), 1371-1380.

[17] CARTER, J. R. (1992). The effect of data precision on the calculation of slope and aspect using gridded DEMs. Cartographica: The International Journal for Geographic Information and Geovisualization, 29(1), 22-34.

[18] Hodgson, M. E. (1998). Comparison of angles from surface slope/aspect algorithms. Cartography and Geographic Information Systems, 25(3), 173-185.

[19] Moore, I. D., Grayson, R. B., & Ladson, A. R. (1991). Digital terrain modelling: a review of hydrological, geomorphological, and biological applications. Hydrological processes, 5(1), 3-30.

[20] Grunwald, S.  (2005). What do we really know about the space-time continuum of soil-landscapes? In Grunwald, S. (Ed.). Environmental soil-landscape modeling: Geographic information technologies and pedometrics. (pp. 3-36). Boca Raton, FL, USA: CRC Press.

[21] Lal, R., & Shukla, M. K. (2004). Principles of soil physics. CRC Press.

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