Jerlin Adaikala Sundari, J (2023) ENHANCING QUALITY OF SERVICE IN INTERNET OF THINGS-BASED CLOUD WIRELESS SENSOR NETWORKS (IC-WSN) USING ROBUST FROG LEAP INSPIRED ROUTING PROTOCOL (RFLIRP). ENHANCING QUALITY OF SERVICE IN INTERNET OF THINGS-BASED CLOUD WIRELESS SENSOR NETWORKS (IC-WSN) USING ROBUST FROG LEAP INSPIRED ROUTING PROTOCOL (RFLIRP), 101 (18). pp. 7289-7307. ISSN 1992-8645

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Abstract

Efficient energy management in routing algorithms for Internet of Things-based Cloud Wireless Sensor
Networks (IC-WSN) is crucial for greenhouse farming applications. This paper addresses the problem of
energy efficiency in routing algorithms for IC-WSN in greenhouse farming. The reliance on battery
powered wireless sensors in greenhouses necessitates the development of innovative routing protocols that
can extend sensor lifespan and minimize maintenance costs. In large-scale greenhouse environments with
high sensor density, inefficient routing protocols can lead to excessive energy consumption and premature
battery depletion. The Robust Frog Leap Inspired Routing Protocol (RFLIRP) is proposed to address this
challenge. RFLIRP intelligently selects energy-efficient paths, considering individual sensor energy levels,
distance to the destination, and available alternative routes. By incorporating techniques like data
aggregation and compression, RFLIRP significantly reduces energy consumption and enhances the
operational life of sensors. This research aims to promote sustainability in agricultural practices by
optimizing energy consumption, minimizing maintenance costs, and facilitating uninterrupted data
transmission for timely monitoring in greenhouse farming. The results highlight the significance of
RFLIRP in improving energy efficiency and operational effectiveness in IC-WSN routing for greenhouse
farming, paving the way for sustainable and optimized agricultural practices.

Item Type: Article
Uncontrolled Keywords: Agricultural, Efficiency, Farming, Greenhouse, Routing, Wireless
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Dr. B Sivakumar
Date Deposited: 14 Nov 2025 09:20
Last Modified: 14 Nov 2025 09:20
URI: https://ir.psgcas.ac.in/id/eprint/2532

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