Abstract

Using the Wireless Sensor Networks WSNs in a wide variety of applications is currently considered one of the most challenging solutions. For instance, this technology has evolved the agriculture field, with the precision agriculture challenge. In fact, the cost of sensors and communication infrastructure continuously trend down as long as the technological advances. So, more growers dare to implement WSN for their crops. This technology has drawn substantial interests by improving agriculture productivity. The idea consists of deploying a number of sensors in a given agricultural parcel in order to monitor the land and crop conditions. These readings help the farmer to make the right inputs at the right moment. In this paper, we propose a complete solution for gathering different type of data from variable fields of a large agricultural parcel. In fact, with the in-field variability, adopting a unique data gathering solution for all kinds of fields reveals an inconvenient approach. Besides, as a fault-tolerant application, precision agriculture does not require a high precision value of sensed data. So, our approach deals with a context aware data gathering strategy. In other words, depending on a defined context for the monitored field, the data collector will decide the data gathering strategy to follow. We prove that this approach improves considerably the lifetime of the application.

Highlights

  • Water consumption in agriculture is the most part of water resources consumption in domestic, industrial and agricultural purposes

  • Valuation of agricultural water productivity is important for improving the agricultural water resources utilization, especially in the arid areas [1]

  • The key idea of ADA-DG [16] consists of finding the suitable trajectory of the Data Collector DC for which we guarantee sending data to the sink before a required data delivery delay deadline

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Summary

Introduction

Water consumption in agriculture is the most part of water resources consumption in domestic, industrial and agricultural purposes. A. Saidane has been involved, having the purpose to enhance efficiency in crop farming and water resources. Saidane has been involved, having the purpose to enhance efficiency in crop farming and water resources This science consists of precise understanding, estimating and evaluating crops condition with the aim of different parameter readings. WSN (Wireless Sensor Networks) is one of the promising technologies for monitoring crops and doing the suitable readings. Using a reactive WSN, even the person in the field is replaced by an automatic actuator to do some critical tasks like irrigation and fertilization when sensed parameters achieve a given value; this is called the Wireless Sensor Actuator Network WSAN. In case of reactive WSN, the precision farming system has the following parts: 1) Identification of the sensing agricultural parameters. We notice that some platforms like Mica support many kind of sensor boards in order to do different readings at the same time [8]

Sensor Network Deployment
Transferring Data from Crop Field to Control Station
Actuation and Control Decision
ADA-DG
Context-Aware Data Gathering Strategy
Data Gathering Scheme
Simulation Results
Conclusion
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