Decision Support Based Dry-Land Irrigation Using Fuzzy Routing Protocol in WSN (DDI-FRP)
Jayashree Agarkhed1, Vijayalaxmi Kadrolli2, Siddarama Patil3
1Jayashree Agarkhed, Professor in the Computer Science and Engineering Department at Poojya Doddappa Appa College of Engineering, Gulbarga, Karnataka, India.
2Vijayalaxmi Kadrolli, Currently Research Scholar of Computer Science and Engineering Department at Poojya Doddappa Appa (PDA) college of Engineering, Kalaburagi, Karnataka, India.
3Siddarama Patil, Professor and Dean Academics at Poojya Doddapa Appa College of Engineering, Kalaburgi, Karnataka, India.

Manuscript received on 03 April 2019 | Revised Manuscript received on 08 May 2019 | Manuscript published on 30 May 2019 | PP: 2345-2351 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1295058119 /19©BEIESP
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Abstract: In Agriculture Sector wireless Sensor Network (WSN) made new trends in the production of crops. One such new trend is Dry-Land Agriculture especially Pigeon Pea irrigation (Normally known to be Red Gram). This article presents Decision Support Based Dry-Land Irrigation By Using Fuzzy Routing Protocol system(DSBDL). It regulates the desired different parameter like soil tempt (ST), PH , water holding capacity(Whc) and Electric conductivity(Ec) values from sensors and transmits the data by using Fuzzy Routing Protocol and Decision Support System for making the decision of fertilization of Pigeon-Pea crop, which resembles the humanlike skill. This leads to the use of a cost-effective system for the awaited yield. The Proposed Fuzzy routing including multipath is employed to enhance the execution of network in terms of energy consumption, lifetime, routing overhead and end to end delay to communicate the information effectively toward the Sink. The proposed approaches simulated results shows better performance than existing protocols and facilitate user to get the application of fertilizer for crop production accurately.
Index Terms: Cluster Head (CH), Fuzzy Routing Protocol (FRS), Pigeon-Pea, Agriculture.

Scope of the Article: Fuzzy Logics