Using Adaptive Automata in monitoring systems in agriculture

Ivairton M. SantosMara DotaCarlos E. Cugnasca

Wireless Sensor Networks have potential for different applications, especially for environment monitoring, such as in agriculture. The aim is to present the formalization of a technique to minimize the power consumption of sensor nodes in a Wireless Sensor Network. This technique considers the use of Adaptive Automata in the routing data process in Wireless Sensor Networks, integrated with embedded systems in agricultural vehicles that control the mobile sink node. The use of Adaptive Automata aims to enable the sensor network to dynamically vary the sampling data. Thus, the sensor network is expected to automatically use long intervals while collecting data within a range of values considered normal or acceptable. However, when the nodes collect data considered outside the normal range, the sampling rate is expected to be reduced; as a result, the sensor network will monitor the phenomenon in more detail. With the implementation of this strategy, energy consumption is saved at every sensor node in the network, without losing efficiency in the monitoring of phenomena. The formalization of the technique is modeled using Adaptive Automata and Adaptive Decision Table, which feature adaptive actions to dynamically adjust the sampling rate of sensor nodes.

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