Research And Realization Of Wireless Sensor Network Technology Used In Tropical Agriculture

As one of the top ten emerging technologies in the21st century, wireless sensornetwork has been widely applied in the military, industry, agriculture, environmentalresource monitoring, smart home and other fields to become a hot research field ofinformation at home and abroad. The characteristics of wireless sensor network nodesuch as small size, low cost, self-organized and easy to maintain make it especiallysuitable for crops environmental monitoring, environmental monitoring transportationof agricultural products and a series of agricultural fields. Policies and trends ofvigorously developing modern agriculture in tropical regions have promoted theresearch of wireless sensor network used in the field of tropical agriculture.In the context of this reality, the paper carries out research on wireless sensornetwork used in tropical agriculture. We extend LEACH protocol in NS2, and on thisbasis, we make modifications to LEACH protocol’s cluster head selecting procedureand add support for inter-cluster routing to achieve the proposed MS-LEACHprotocol. We make comparisons in network lifetime and the total energy consumed bythe network to verify the improvement of network performance. Furthermore, thispaper proposes a solar node’s energy prediction model based on a BP neural networkand carries out training and validation of the model.The simulation results show that the proposed MS-LEACH routing protocol caneffectively extend the life of the wireless sensor network in which solar nodes alsoextend the network lifetime by acquiring the total solar energy. MS-LEACH protocolprolongs the network lifetime by about36.9%compared with LEACH protocol. TheMATLAB simulation results of solar energy prediction model based on BP neuralnetwork show that the average prediction error remains within10%, which hasbasically reached the engineering requirements, and it can be used as the basis forfurther short time prediction.