RPL optimization for precise green house management using wireless sensor network

The precision farming techniques provide favorable conditions to grow money crops like capsicum, nursery plants in a temperature and humidity controlled fashion. Wireless sensor networks (WSN) can be used for automatic monitoring and control of soil humidity and temperature inside the green house. The Contiki OS with routing protocol implementation as per IETF specifications, is better choice for precision agriculture. Soil properties can be collected and aggregated over a long distance using ADHOC WSN tree formation. The Routing Protocol for low power and Lossy Network (RPL) parameter decides battery consumption, network efficiency, convergence time of the routing tree, routing table correction and rate of data collection. Battery consumption depends on control overhead packets transmitted over a specific interval. Optimization of network and battery efficiency is the primary concern for deployment of wireless sensor network to any specific case. In the present work, RPL parameter impacts on network efficiency and overheads are simulated in COOJA simulator and MATLAB curve fitting tool is applied to find the optimum RPL parameter value for a particular implementation. The complete architecture required for practical implementation of green house monitoring is proposed and validated using real time simulation.