EGU24-12277, updated on 16 Apr 2024
https://doi.org/10.5194/egusphere-egu24-12277
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Performance Analysis of Internet of Underground Things Network in Smart and Greenhouse Agriculture

Abdelazim Negm1, Hamada Esmaiel2, and Adel Agamy3
Abdelazim Negm et al.
  • 1Retired from University of Zagazig, Faculty of Engineering, Water and Water Structures Engineering Dept., Zagazig, Egypt (amnegm85@yahoo.com)
  • 2Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt
  • 3Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt

Yield improvement of the smart and greenhouse agriculture necessities to adopt the recently developed technologies. Therefore, sensors and the Internet of Things (IoT) and/or the Internet of Underground Things (IOUT) should be included. The Internet of Underground Things (IOUT) communication network consists of a large number of sensors or actuators deployed in a geographical area. In IOUT networks, the data is collected by multiple sinks and sent over to the central processing unit. The special needs for this type of network pose great challenges for network architecture and implementation. Accurately modeling the information generated by each sensor device is essential for designing a smart system for precision agriculture. Successful design leads to improving the whole performance of the communication network and increases the productivity of the plants by early detecting hazards and diseases of the plants. This research aims to model and measure the performance of communication networks of underground sensor devices and above-ground networks with different scenarios. The traffic of each device in the network is modeled by truncated power tail distribution to represent the real burst of the collected information traffic. The impact of burst traffic on the performance is investigated analytically and by simulation. The model compares two common types of traffic models using truncated power tail distribution. Analyzing all the collected information could lead to adjusting the environmental conditions (including soil moisture and water feed) to set then to meet the optimal conditions of the plants to improve the smart and greenhouse agriculture productivity to produce more food to help support the related SDGs.

Keywords:  Traffic Modeling, Performance Modeling, Communication network, Greenhouse agriculture, Smart/precision agriculture

How to cite: Negm, A., Esmaiel, H., and Agamy, A.: Performance Analysis of Internet of Underground Things Network in Smart and Greenhouse Agriculture, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12277, https://doi.org/10.5194/egusphere-egu24-12277, 2024.

Comments on the supplementary material

AC: Author Comment | CC: Community Comment | Report abuse

supplementary materials version 1 – uploaded on 30 Mar 2024
  • AC2: Comment on EGU24-12277, Adel Agamy, 20 Apr 2024

    Dears 

    How I can get a certificate for attending and present a pico presentation  in EGU24

  • AC3: Comment on EGU24-12277, Abdelazim Negm, 20 Apr 2024

    Dear Dr. Adel

    I informed Prof. Andrea, the chair of our session.

    However, EGU does not provide certificates, but let us learn more from Prof. Andrea, the chair of our section. Maybe he can give us more information.

    Best wishes.