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Reliable Data Reduction Approaches in WSNs:Greenhouse Plant Disease Detection as a Case Study
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Wireless Sensor Networks have been used in many applications including critical applications such as battle field and health care application. It is also used in many other important applications such as in agriculture. However, such applications require special sensor treatment. Sensors need to be deployed in harsh environment and need to stay alive for long time that could be years not days. In this paper, we propose to utilize wireless sensor networks for greenhouse monitoring against the plant diseases. A multimodal wireless sensor network is used for such purpose. Two different approaches are also proposed for saving the WSN energy including two of the prediction techniques and fuzzy logic controller. In addition, we implemented these approaches in a greenhouse application for plant disease detection. Extensive experiments are conducted to test the performance of the proposed agents.
Keywords
Wireless Sensor Network, Data Reduction Technique, Reliability, Multimodal WSN, Fuzzy Logic Controller, WSN Prototype, and Exponential Smoothing Approach.
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