Modeling and simulation of near-earth wireless sensor networks for agriculture based application using OMNeT++

L.M. Kamarudin, R.B. Ahmad, B.L. Ong, A. Zakaria, David Ndzi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, there have been a number of reported studies on the design of communication protocols using simulation platform. However, most of the reported works were evaluated using simple or idealistic wireless communication channel modeling. Experimental results have shown that the characterization and modeling of wireless communication channel is important to achieve a successful implementation of wireless sensor network (WSN) systems in agricultural based application. This paper investigates the impact of propagation model towards WSNs system under OMNeT++ simulation environment. Several realistic propagation models for WSNs are also reviewed. Several well known empirical vegetation models, namely MED Weissberger Model and ITU-Recommendation model are implemented in OMNeT++ simulation platform. It is observed that propagation model used gives significant impact towards the network performances. The results show that a combination of plain earth (PE) and vegetation model give more realistic result and can best describe the behavior of actual WSN systems when deployed in a real environment. Antenna heights and vegetation density are important parameters that affect communication network coverage and connectivity.
Original languageEnglish
Title of host publicationInternational Conference on Computer Applications and Industrial Electronics (ICCAIE), 2010
PublisherIEEE
Pages131-136
Number of pages6
ISBN (Electronic)978-1-4244-9055-4
ISBN (Print)9781424490547
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes

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Agriculture
Wireless sensor networks
Earth (planet)
Network performance
Telecommunication networks
Antennas
Network protocols

Cite this

Kamarudin, L. M., Ahmad, R. B., Ong, B. L., Zakaria, A., & Ndzi, D. (2010). Modeling and simulation of near-earth wireless sensor networks for agriculture based application using OMNeT++. In International Conference on Computer Applications and Industrial Electronics (ICCAIE), 2010 (pp. 131-136). IEEE. https://doi.org/10.1109/ICCAIE.2010.5735061
Kamarudin, L.M. ; Ahmad, R.B. ; Ong, B.L. ; Zakaria, A. ; Ndzi, David. / Modeling and simulation of near-earth wireless sensor networks for agriculture based application using OMNeT++. International Conference on Computer Applications and Industrial Electronics (ICCAIE), 2010 . IEEE, 2010. pp. 131-136
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Kamarudin, LM, Ahmad, RB, Ong, BL, Zakaria, A & Ndzi, D 2010, Modeling and simulation of near-earth wireless sensor networks for agriculture based application using OMNeT++. in International Conference on Computer Applications and Industrial Electronics (ICCAIE), 2010 . IEEE, pp. 131-136. https://doi.org/10.1109/ICCAIE.2010.5735061

Modeling and simulation of near-earth wireless sensor networks for agriculture based application using OMNeT++. / Kamarudin, L.M. ; Ahmad, R.B.; Ong, B.L.; Zakaria, A.; Ndzi, David.

International Conference on Computer Applications and Industrial Electronics (ICCAIE), 2010 . IEEE, 2010. p. 131-136.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Ndzi, David

N1 - Additional Information: DOI: 10.1109/ICCAIE.2010.5735061.

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N2 - In recent years, there have been a number of reported studies on the design of communication protocols using simulation platform. However, most of the reported works were evaluated using simple or idealistic wireless communication channel modeling. Experimental results have shown that the characterization and modeling of wireless communication channel is important to achieve a successful implementation of wireless sensor network (WSN) systems in agricultural based application. This paper investigates the impact of propagation model towards WSNs system under OMNeT++ simulation environment. Several realistic propagation models for WSNs are also reviewed. Several well known empirical vegetation models, namely MED Weissberger Model and ITU-Recommendation model are implemented in OMNeT++ simulation platform. It is observed that propagation model used gives significant impact towards the network performances. The results show that a combination of plain earth (PE) and vegetation model give more realistic result and can best describe the behavior of actual WSN systems when deployed in a real environment. Antenna heights and vegetation density are important parameters that affect communication network coverage and connectivity.

AB - In recent years, there have been a number of reported studies on the design of communication protocols using simulation platform. However, most of the reported works were evaluated using simple or idealistic wireless communication channel modeling. Experimental results have shown that the characterization and modeling of wireless communication channel is important to achieve a successful implementation of wireless sensor network (WSN) systems in agricultural based application. This paper investigates the impact of propagation model towards WSNs system under OMNeT++ simulation environment. Several realistic propagation models for WSNs are also reviewed. Several well known empirical vegetation models, namely MED Weissberger Model and ITU-Recommendation model are implemented in OMNeT++ simulation platform. It is observed that propagation model used gives significant impact towards the network performances. The results show that a combination of plain earth (PE) and vegetation model give more realistic result and can best describe the behavior of actual WSN systems when deployed in a real environment. Antenna heights and vegetation density are important parameters that affect communication network coverage and connectivity.

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Kamarudin LM, Ahmad RB, Ong BL, Zakaria A, Ndzi D. Modeling and simulation of near-earth wireless sensor networks for agriculture based application using OMNeT++. In International Conference on Computer Applications and Industrial Electronics (ICCAIE), 2010 . IEEE. 2010. p. 131-136 https://doi.org/10.1109/ICCAIE.2010.5735061