Modeling and simulation of near-earth wireless sensor networks for agriculture based application using OMNeT++
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.
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ABSTRACT: Simulation platforms have become important tools in the design and evaluating of protocols for Wireless Sensor Networks. Thus the use of realistic models in simulation is important for the development of protocols. However, most of the reported studies based on simulations tend to use simple or non-realistic parameters and assumptions. This paper proposes a transmit power control algorithm with a realistic radio energy model based on different propagation models to mimic different deployment scenarios. Results show that the implementation of transmit power control extends the network lifetime by 5.3% when free space path loss model is used. However, a greater efficiency of 8.7% is achieved when the network is assumed to be deployed in the presence of vegetation using Weissberger's vegetation attenuation model.
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ABSTRACT: Conference code: 87611, Cited By (since 1996):1, Export Date: 13 November 2013, Source: Scopus, Art. No.: 6076383, doi: 10.1109/CIMSim.2011.69, Language of Original Document: English, Correspondence Address: Harun, A.; School of Mechatronic Engineering, University Malaysia Perlis (UNIMAP), Perlis, Malaysia; email: email@example.com, References: Liu, H., Meng, Z., Shang, Y., Sensor Nodes Placement for Farmland Environmental Monitoring Applications 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing, Sep. 2009, pp. 1-4;Proceedings - CIMSim 2011: 3rd International Conference on Computational Intelligence, Modelling and Simulation, Langkawi; 01/2011
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ABSTRACT: To provide reliable and adequate network coverage whilst minimizing the cost of wireless sensor network (WSN) deployments, detailed knowledge of wireless signal propagation within the specific environments is required. There are many WSN devices on the market that have been developed using proprietary systems and therefore have different performances, although implementing similar standards. This paper presents a comparative performance measurement and analysis of three types of WSN devices evaluated for application in a mixed-crop farm. The results show that the Xbee-PRO maintains very strong RSSI values in open field measurements that are sometime 15 dBm higher than those obtained from the IRIS and Microchip motes. Overall, two important factors that influence WSN node performances are antenna height and the type of antenna used. Whip omni-directional antenna has been shown to double the range of the WSN node compared to a patch antenna. Results also show that the log-distance propagation model is a more flexible model that can be used to model a variety of channels, although it lacks standard global parameter values.