Data aggregation in precision agriculture for low-power and lossy networks

To provide best cultivation conditions, the agricultural environment monitoring systems are developed based on various wireless sensors. RPL routing, which is targeting the large-scale wireless sensor network, can work effectively in agriculture environment consisting of constrained sensor devices. Each sensor node can transmit sensing data to monitoring system using periodic inter-sensor multi-hop communication in RPL routing. However, the number of sensors increases and each sensor node generates large volume of time-series data periodically. Therefore, it can cause network overhead, bandwidth consumption, and transmission delay, etc. In this paper, we propose data aggregation scheme for low-power and lossy-networks to reduce such a big volume. We apply RPL routing protocol in agricultural system, especially in greenhouse. After that, we collect and analyze the sensing data and reduce the amounts of data. We evaluate the performance using Cooja simulator on the Sky mote sensors based on Contiki operating system.