Wireless sensor network coverage measurement and planning in mixed crop farming
| Autor: | Rohani S. Mohamed Farook, David Ndzi, Munirah L. Kamarudin, Azizi Harun, Ali Yeon Md Shakaff, Ammar Zakaria, Shikun Zhou, Fitri M. Ramli, Mahmad Nor Jaafar |
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| Rok vydání: | 2014 |
| Předmět: |
Engineering
Real-time computing Horticulture ZigBee Mobile wireless sensor network RSSI Energy-consumption Engineering(all) Simulation Precision agriculture Agricultural and Biological Sciences(all) business.industry Wireless network Node (networking) Forestry Energy consumption Computer Science Applications Key distribution in wireless sensor networks Asymmetric channel Sensor node business Agronomy and Crop Science Wireless sensor network Computer Science(all) Electronic and Computer Engineering |
| Zdroj: | Ndzi, D L, Harun, A, Ramli, F M, Kamarudin, M L, Zakaria, A, Shakaff, A Y M, Jaafar, M N, Zhou, S & Farook, R S 2014, ' Wireless sensor network coverage measurement and planning in mixed crop farming ', Computers and Electronics in Agriculture, vol. 105, pp. 83-94 . https://doi.org/10.1016/j.compag.2014.04.012 |
| ISSN: | 0168-1699 |
| Popis: | Wireless sensor network technology holds great promise for application in agriculture to improve crop yield, improve quality, and reduce costs. This paper presents wireless sensor network coverage measurements in a mixed crop farmland. As one of its key contributions, this study shows that general vegetation attenuation models do not apply to low power wireless sensor networks. A log-linear model is proposed in this paper and validated for application in mixed crop environment. Unlike in mono-crop environment, this study shows that the network coverage is heterogeneous with asymmetric channel between communicating node pair. Crop specific parameters of the log-linear model are derived and used to simulate network coverage in a 7 acre test-bed farm. An adaptive energy consumption model for each sensor node is proposed and used to compute energy consumption in the network. A cluster head and two antenna heights deployment model is also proposed and simulated to alleviate short network lifetime due to vegetation attenuation of signals. The results show that this network deployment model extends the lifetime of the network by a factor of more than 20 compare to a deployment where cluster heads are not used. |
| Databáze: | OpenAIRE |
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