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Energizing Firefly Optimization-Inspired Routing Protocol (EFOIRP) for Performance Enhancement in IOT-Based Cloud Wireless Sensor Networks (IC-WSN)


Affiliations
1 Department of Computer Technology, PSG College of Arts and Science, Coimbatore, Tamil Nadu, India
2 Department of Computer Science, PRIST University, Thanjavur, Tamil Nadu, India
 

Physical obstructions that disrupt signal propagation and routing paths hinder routing performance in IoT-based Cloud Wireless Sensor Networks (IC-WSN) for greenhouse farming. Existing routing algorithms fail to address the energy consumption challenge, resulting in suboptimal routing paths and potential data loss. This paper proposes an Energizing Firefly Optimization-Inspired Routing Protocol (EFOIRP) to enhance performance in IC-WSN. The protocol employs novel routing strategies to handle physical obstructions within greenhouses. It includes comprehensive site surveys to identify obstructions and their impact on signal propagation, enabling intelligent path selection that minimizes obstruction effects and ensures reliable data transmission. This research aims to achieve seamless data transmission and monitoring in greenhouse farming. EFOIRP minimizes signal interference by addressing physical obstructions, optimizing data transmission efficiency, and empowering farmers with reliable and accurate data for precise control over greenhouse conditions and resource management. The research objectives encompass characterizing obstructions, developing adaptive routing algorithms, evaluating performance through simulations or experiments, investigating scalability, and validating effectiveness in real-world greenhouse farming scenarios. The proposed EFOIRP aims to overcome the limitations of existing routing algorithms and improve the performance of IC-WSN in greenhouse farming environments.

Keywords

Cloud, Greenhouse, Firefly Optimization, IoT, Routing Protocol, Wireless Sensor Networks.
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  • Energizing Firefly Optimization-Inspired Routing Protocol (EFOIRP) for Performance Enhancement in IOT-Based Cloud Wireless Sensor Networks (IC-WSN)

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Authors

J. Jerlin Adaikala Sundari
Department of Computer Technology, PSG College of Arts and Science, Coimbatore, Tamil Nadu, India
G. Preethi
Department of Computer Science, PRIST University, Thanjavur, Tamil Nadu, India

Abstract


Physical obstructions that disrupt signal propagation and routing paths hinder routing performance in IoT-based Cloud Wireless Sensor Networks (IC-WSN) for greenhouse farming. Existing routing algorithms fail to address the energy consumption challenge, resulting in suboptimal routing paths and potential data loss. This paper proposes an Energizing Firefly Optimization-Inspired Routing Protocol (EFOIRP) to enhance performance in IC-WSN. The protocol employs novel routing strategies to handle physical obstructions within greenhouses. It includes comprehensive site surveys to identify obstructions and their impact on signal propagation, enabling intelligent path selection that minimizes obstruction effects and ensures reliable data transmission. This research aims to achieve seamless data transmission and monitoring in greenhouse farming. EFOIRP minimizes signal interference by addressing physical obstructions, optimizing data transmission efficiency, and empowering farmers with reliable and accurate data for precise control over greenhouse conditions and resource management. The research objectives encompass characterizing obstructions, developing adaptive routing algorithms, evaluating performance through simulations or experiments, investigating scalability, and validating effectiveness in real-world greenhouse farming scenarios. The proposed EFOIRP aims to overcome the limitations of existing routing algorithms and improve the performance of IC-WSN in greenhouse farming environments.

Keywords


Cloud, Greenhouse, Firefly Optimization, IoT, Routing Protocol, Wireless Sensor Networks.

References





DOI: https://doi.org/10.22247/ijcna%2F2024%2F224441