A novel intelligent robust optimized dynamic and efficient cluster (NIRODEC) based routing protocol for IoT assisted precision agriculture

Chavan, Vijaysinh G.; Gadekar, Amit

doi:10.1063/5.0106967

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…For IoT-assisted smart farming, Chavan et al suggested an innovative Optimized dynamic approach and Effective Cluster Based Routing Protocol [19]. Precision farming has entered a new age, and it is anticipated that people will profit more from it.…”

Section: Related Workmentioning

confidence: 99%

Energy efficient cluster head using modified fuzzy logic with WOA and path selection using Enhanced CSO in IoT-enabled smart agriculture systems

Rai

Rajasekaran

2023

Preprint

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The advent of Internet of Things (IoT) in agriculture has revolutionized the way farmers monitor and manage their crops. IoT-enabled sensors can provide real-time data on various environmental parameters such as temperature, humidity, soil moisture, and crop growth, which can be used to make informed decisions and optimize crop yield. However, the vast amount of data generated by these sensors poses a significant challenge in terms of data processing and communication. To address this challenge, clustering is often used to group the sensors into clusters and elect a Cluster Head (CH) to communicate with the gateway node. The selection of an appropriate CH and the optimal path for data transmission are critical factors that affect the performance of the IoT system. In this paper, we propose a novel approach to optimize the CH selection and path selection using modified Fuzzy Logic, Whale optimization algorithm (WOA) and Enhanced Crow Swarm Optimization (ECSO). Fuzzy Logic is used to evaluate the relevant parameters such as energy, distance, overhead, trust, and node degree to select the most suitable CH. ECSO is then employed to find the optimal path for data transmission based on the selected CH. We evaluate the proposed approach using simulation experiments in a smart agriculture scenario. The results show that our approach outperforms existing approaches in terms of throughput, packet delivery ratio, delay, and energy efficiency. Our proposed approach can significantly improve the performance of IoT-enabled smart agriculture systems, leading to better crop yield and higher profitability for farmers. The results of our simulation experiments demonstrate the superiority of our approach over existing one’s throughput, Packet Delivery Ratio (PDR), delay, energy consumption efficiency is found in the result section.

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Section: Related Workmentioning

confidence: 99%

Energy efficient cluster head using modified fuzzy logic with WOA and path selection using Enhanced CSO in IoT-enabled smart agriculture systems

Rai

Rajasekaran

2023

Preprint

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Energy-efficient cluster head using modified fuzzy logic with WOA and path selection using enhanced CSO in IoT-enabled smart agriculture systems

Chandrasekaran,

Rajasekaran

2024

J Supercomput

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IoT-Based Smart Climate Agriculture System for Precision Agriculture Using WSN

Chaturvedi,

Gandhi

2024

Advances in Systems Analysis, Software Engineering, and High Performance Computing

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The WSN are used for the collection of the data from the environment in the IOT based smart agriculture systems. The WSN constitute a challenging factor in collection and analysis of the data from the drones, due to the resource scarcity. Clustering can aid in managing the nodes in the sensor networks. The clustering process requires a large amount of energy in determining the most efficient node to be selected as a cluster head. The lifetime of the network is dependent on the energy consumption during the cluster head selection and data transmission process. The chapter proposes a cluster head (CH) selection and routing approach using weight-based cost function for the IOT based smart agriculture system. The nodes in the sensor network are clustered into a number of clusters using the k-medoids clustering. The optimal path for the data transmission towards the base station is obtained using the weighted cost function using the parameters trust value, residual energy and hop count. The performance of the existing approach is validated analytically.

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A novel intelligent robust optimized dynamic and efficient cluster (NIRODEC) based routing protocol for IoT assisted precision agriculture

Cited by 3 publications

References 19 publications

Energy efficient cluster head using modified fuzzy logic with WOA and path selection using Enhanced CSO in IoT-enabled smart agriculture systems

Energy efficient cluster head using modified fuzzy logic with WOA and path selection using Enhanced CSO in IoT-enabled smart agriculture systems

Energy-efficient cluster head using modified fuzzy logic with WOA and path selection using enhanced CSO in IoT-enabled smart agriculture systems

IoT-Based Smart Climate Agriculture System for Precision Agriculture Using WSN

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