<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Numerical Terrain Modelling for Wireless Underground Sensor Networks

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Prototype for Nut Tree Plantations

Underground terrain poses a highly intricate and challenging environment to the propagation of waves carrying information from sensor to the sink nodes. Due to...

Numerical Terrain Modelling for Wireless Underground Sensor Networks

Publié en ligne: 15 févr. 2020

Pages: 1 - 5

DOI: https://doi.org/10.21307/ijssis-2019-048

Mots clés
component, Wireless Underground Sensor Network (WUSN), Distributed Sensing, terrain modelling, Digital Elevation Model (DEM), numerical methods, nut tree plantation, MATLAB

© 2019 Vinod Parameswaran et al., published by Sciendo.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Numerical Terrain Modelling for Wireless Underground Sensor Networks

Publié en ligne: 15 févr. 2020

Pages: 1 - 5

DOI: https://doi.org/10.21307/ijssis-2019-048

Mots cléscomponent, Wireless Underground Sensor Network (WUSN), Distributed Sensing, terrain modelling, Digital Elevation Model (DEM), numerical methods, nut tree plantation, MATLAB

© 2019 Vinod Parameswaran et al., published by Sciendo.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
component, Wireless Underground Sensor Network (WUSN), Distributed Sensing, terrain modelling, Digital Elevation Model (DEM), numerical methods, nut tree plantation, MATLAB