Irrigation to Smart Irrigation and Tube Well Users

Patel, Swati V.; Parikh, Satyen M.; Patel, Savan K.

doi:10.1109/ccge50943.2021.9776479

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…This results in significant water savings, increased crop yield and reduced costs. WSNs can also help identify areas of the field that require more water, improving the overall efficiency of the irrigation system (Aldegheishem et al, 2022;Campoverde et al, 2021;Patel et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Enhancing the lifetime and performance of WSNs in smart irrigation systems using cluster‐based selection protocols

Hassan

Oshaba

El‐Emary

et al. 2023

Irrigation and Drainage

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This paper presents a comparative analysis of cluster‐based selection protocols for wireless sensor networks (WSNs) in smart irrigation systems. The study evaluates the performance of stable election protocol (SEP)‐based protocols, including conventional SEP, zonal SEP (ZSEP), enhanced SEP (ESEP) and threshold‐sensitive SEP (TSEP), and distributed energy‐efficient clustering (DEEC)‐based protocols, including conventional DEEC, developed DEEC (DDEEC), enhanced DEEC (EDEEC) and threshold‐sensitive DEEC (TDEEC). Simulation results show that TSEP and ZSEP outperform other SEP‐based protocols in terms of network lifetime, stability period, number of dead nodes and throughput. EDEEC and TDEEC show superior performance compared to other DEEC‐based protocols. However, TDEEC and EDEEC have a lower performance in terms of packets sent to cluster heads (CHs) due to the three levels of energy heterogeneity, which reduce the average packets sent to CHs. Finally, a comparative analysis between the SEP‐based and DEEC‐based protocols is presented. The findings reveal that TSEP outperforms all other protocols in terms of the performance metrics examined in this paper, except for throughput, which is higher in the case of ZSEP. Overall, the proposed cluster‐based selection protocols improve the energy efficiency and lifetime of WSNs in smart irrigation systems, and the results demonstrate their effectiveness in supporting the performance of smart irrigation systems.

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Section: Introductionmentioning

confidence: 99%

Enhancing the lifetime and performance of WSNs in smart irrigation systems using cluster‐based selection protocols

Hassan

Oshaba

El‐Emary

et al. 2023

Irrigation and Drainage

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A Machine Learning Approach to Optimize the Water Consumption for Irrigation of Rice Crop

Parikh,

Sharma

2024

Lecture Notes in Networks and Systems

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Improving Smart Irrigation Systems through Energy Efficient Cluster-Head Selection in Heterogeneous WSNs

Hassan

Oshaba

El‐Emary

2023

Preprint

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Smart irrigation systems require reliable and energy-efficient communication between the sensors in a Wireless Sensor Network (WSN) and the control system. To address this challenge, this paper presents several cluster-based selection protocols, based on the Stable Election Protocol (SEP) and Distributed Energy-Efficient Clustering (DEEC). The presented protocols divide the agriculture field into sub-fields to reduce energy consumption between far sensors and the base station (BS). Comparison with traditional protocols using evaluation metrics such as network throughput, stability, instability period, and lifetime, shows that the presented protocols outperform in terms of all metrics. The results indicate the effectiveness of the proposed protocols in prolonging the network's lifetime and improving energy efficiency in heterogeneous WSNs, thus supporting the performance of smart irrigation systems.

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Irrigation to Smart Irrigation and Tube Well Users

Cited by 3 publications

References 15 publications

Enhancing the lifetime and performance of WSNs in smart irrigation systems using cluster‐based selection protocols

Enhancing the lifetime and performance of WSNs in smart irrigation systems using cluster‐based selection protocols

A Machine Learning Approach to Optimize the Water Consumption for Irrigation of Rice Crop

Improving Smart Irrigation Systems through Energy Efficient Cluster-Head Selection in Heterogeneous WSNs

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