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Greenhouse method of agriculture overcomes various issues of traditional agriculture and provides good crop yield in farming. When the maintenance of greenhouse plants is automated, it helps the farmers in monitoring the soil, water and lighting required for higher crop yield, with low cost and saving man power and time. Internet of Things (IoT) makes the different components involved in this monitoring process to talk to each other, and coordinate and disseminate the observed data to reach the sink node and direct instructions to the actuator components to perform appropriate actions. The lifetime of the network is directly proportional to the energy of the nodes in the automated system. So as to improve the network lifetime, location of sensors and the distance between the relay nodes should be taken into consideration. This paper demonstrates the work of an automated greenhouse system based on IoT for sensing soil moisture, light, temperature and humidity. For improving the lifetime of this system, especially when the system is deployed in a large scale greenhouse, the complexity involved are discussed and the solution based on node placement is provided to efficiently improve the network lifetime. We provide solution for fault tolerant node placement using Menger’s Theorem. Simulation of the proposed model has been carried out and the results suggest the better model of sensor node placement in a green house system. The simulation results prove that the model we proposed provides reliable transmission and better throughput compared to the existing approach.

Fault Tolerant Sensor Node Placement for IoT based Large Scale Automated Greenhouse System