Efficient and Intelligent Decision Support System for Smart Irrigation

Monika Saini; Ashish Kumar; Vijay Singh Maan; Deepak Sinwar

doi:10.46481/jnsps.2022.945

Authors

Monika Saini Department of Mathematics & Statistics, Manipal University Jaipur, Jaipur-303007, India
Ashish Kumar
[email protected]
Department of Mathematics & Statistics, Manipal University Jaipur, Jaipur-303007, India
Vijay Singh Maan Department of Mathematics & Statistics, Manipal University Jaipur, Jaipur-303007, India
Deepak Sinwar Department of computer and Communication, Manipal University Jaipur, Jaipur-303007, India

Keywords:

Markov model, Availability, Cold standby redundancy, Intelligent irrigation system

Abstract

The main aim of present analysis is to develop a novel efficient and intelligent irrigation system (EIIS). The proposed irrigation system configured using five components arranged in a series configuration along with the internal cold standby redundancy on sensor unit. The failure and repair rates are exponentially distributed. By using the Markovian birth-death process differential difference equations of the model are developed to derive the availability expressions and estimation of parameters. The availability of the system is optimized by employing Grey-Wolf optimization (GWO) and Dragon Fly algorithm (DA) for efficiency and performance evaluation. The derived results are helpful for the system designers.

Dimensions

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