Redundancy aware data aggregation for pest control in coffee plantation using wireless sensor networks

Wireless Sensor Networks (WSNs), are self-configured and infrastructure less networks which are made of small devices with dedicated sensors and wireless transceivers. The objectives of a WSN are to collect data from the environment and transmit to a coverage site where the data can be observed and analyzed. The advantage of using the sensor devices to monitor the environment is that it does not require infrastructure such as electric mains for power supply and wired lines for Internet connections to collect data and do not require human communication while deploying. Major threat to Coffee plantation is a pest known as Coffee White Stem Borer (CWSB) which is the most serious pest of Coffea Arabica. Coffee production can be enhanced if we devise a mechanism to detect the pest at its inception stage using automated detection system designed with WSN. Data aggregation in WSN for pest identification significantly reduces the redundancy of data and helps to trace the pest accurately. In this paper, we propose Redundancy Aware Data Aggregation (RADA) for CWSB pest identification in the Coffea Arabica plants. The presence of pests is identified by using the Ultrasonic mechanism in sensor nodes that helps us to eliminate redundant information from multiple nodes at the Cluster Head (CH). This scheme successively conglomerates the characteristics designed for CWSB identification and initiates the rescue mechanism from the user end. Simulation analysis is done based on the aggregation ratio and control overhead at the CH.