Monitoring Drip Irrigation System Using Wireless Sensor Networks

China is a country with serious shortage of water resources,water resources problem isn't just a matter of resources, but also a significant strategic question related to national economic and social sustainable development. Using efficient intelligent water-saving irrigation technology has become the general trend of irrigation technology all over the world. Is proposed a kind of intelligent irrigation system based on Wireless Sensor Networks (WSN), can be used to realize large area such as landscaping, field crop on a large scale irrigation control,real-time monitoring of large area of soil's temperature and humidity distribution, and keep the block in the most appropriate humidity range to the growth of the crop, which effectively implement water-saving irrigation.

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A Framework for Knowledge Discovery from Wireless Sensor Networks in Rural Environments: A Crop Irrigation Systems Case Study

Wireless Communications and Mobile Computing ◽

10.1155/2018/6089280 ◽

2018 ◽

Vol 2018 ◽

pp. 1-14 ◽

Cited By ~ 20

Author(s):

Alfonso González-Briones ◽

José A. Castellanos-Garzón ◽

Yeray Mezquita Martín ◽

Javier Prieto ◽

Juan M. Corchado

Keyword(s):

Decision Making ◽

Wireless Sensor Networks ◽

Wireless Sensor Network ◽

Sensor Networks ◽

Knowledge Discovery ◽

Multiagent System ◽

Irrigation System ◽

Wireless Sensor ◽

Rural Environments

This paper presents the design and development of an innovative multiagent system based on virtual organizations. The multiagent system manages information from wireless sensor networks for knowledge discovery and decision making in rural environments. The multiagent system has been built over the cloud computing paradigm to provide better flexibility and higher scalability for handling both small- and large-scale projects. The development of wireless sensor network technology has allowed for its extension and application to the rural environment, where the lives of the people interacting with the environment can be improved. The use of “smart” technologies can also improve the efficiency and effectiveness of rural systems. The proposed multiagent system allows us to analyse data collected by sensors for decision making in activities carried out in a rural setting, thus, guaranteeing the best performance in the ecosystem. Since water is a scarce natural resource that should not be wasted, a case study was conducted in an agricultural environment to test the proposed system’s performance in optimizing the irrigation system in corn crops. The architecture collects information about the terrain and the climatic conditions through a wireless sensor network deployed in the crops. This way, the architecture can learn about the needs of the crop and make efficient irrigation decisions. The obtained results are very promising when compared to a traditional automatic irrigation system.

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Leach Protocol in Wireless Sensor Networks using Matlab

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.i1009.0789s19 ◽

2019 ◽

Vol 8 (9S) ◽

pp. 53-58

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Irrigation System ◽

Cluster Head ◽

Initial Energy ◽

Wireless Sensor ◽

Leach Protocol ◽

The Dead ◽

Intelligent Technology ◽

Intelligent Irrigation

Today, at this age of intelligent technology, the intelligent have entered agriculture in a great way. The base of this study is WSN based irrigation system. In this work various problems in the irrigation system based on traditional wireless sensor networks. The flaw is related to the selection approach for CH (cluster head). The most important technologies are used in this work i.e. to develop an automatic and intelligent irrigation system. The use of a sensor monitoring system is an effective method to prevent interference and to improve efficiency. The CH election approach is modified by enhancing the list of network influencing factors. To sense the energy of the overall network, LEACH and IMPROVED LEACH protocol are compared to have a better and efficient network. MATLAB simulates and evaluates the performance of the communication system in terms of network life. The results of the simulation show the different amount of sensors initial energy in relation to the dead last node and the dead first node.

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