Comparative analysis of distributive linear and non-linear optimised spectrum sensing clustering techniques in cognitive radio network systems

Babu, R. Ganesh; Obaidat, Mohammad S.; Amudha, V.; Manoharan, Rajesh; Sitharthan, R.

doi:10.1049/iet-net.2020.0122

Cited by 51 publications

(3 citation statements)

References 8 publications

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“…As a consequence, the CH also with the smallest Euclidean distance beginning from BS is favored even more in the system. So, D1 and D2 are inter-and intracluster objectives, that can be minimized and stated in Equations ( 14) and (15).…”

Section: Residual Energy (Re)mentioning

confidence: 99%

“…Because of the possibility of reclustering in a changing radio channel, this method alone cannot guarantee consistency 13,14 . Clustering and routing are used in CRSN to minimize packet forwarding cost, promote balance by managing PU interfering, and manage dynamic information about the network structure caused by node mobility 15 . In classic wireless networks, cluster development is based on the transfer of control packets via a control channel.…”

Section: Introductionmentioning

confidence: 99%

“…13,14 Clustering and routing are used in CRSN to minimize packet forwarding cost, promote balance by managing PU interfering, and manage dynamic information about the network structure caused by node mobility. 15 In classic wireless networks, cluster development is based on the transfer of control packets via a control channel. The increasing complexity of CRSNs creates static channels for controlling communication between all the nodes.…”

Section: Introductionmentioning

confidence: 99%

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Congestion centric multi‐objective reptile search algorithm‐based clustering and routing in cognitive radio sensor network

Sunitha¹,

Balmuri

Prado

et al. 2022

Trans Emerging Tel Tech

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In recent trends, Cognitive Radio Sensor Networks (CRSNs) are investigated in‐depth and getting momentum in all types of applications. CRSN can make use of the underutilized frequency spectrum in a suitable manner. Due to the above‐mentioned advantage, the scholars have initiated to study of the domain of cognitive radio routing. Network congestion produces transmission delays and packet loss, as well as time and energy wasted on recovery. In order to fulfill the energy efficiency and network lifetime in CRSN, Congestion Centric Multi‐Objective Reptile Search Algorithm (CC‐MORSA)‐based Clustering and Routing are used. The main objective of proposed CC‐MORSA is to improve the lifetime by minimizing the distance among the designated Cluster Head nodes which creates the fitness function by multiple objectives like energy, distance, and load. This technique is appropriate for common sensor nodes in coordinated communications infrastructure and large networks. The simulation results are analyzed through MATALB in terms of remaining energy (999.5 J), average delay (0.36 s), Packet Delivery Ratio (99.8%), Energy Consumption (24.1 J), Throughput (0.98 Mbps), routing overhead (0.54), and Packet Loss Rate (0.2%). From the outcomes, it shows that the presented CC‐MORSA outperformed conventional Stability‐Aware Cluster‐based Routing and Drop Factor‐Based Energy Efficient Routing technique.

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Section: Residual Energy (Re)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Congestion centric multi‐objective reptile search algorithm‐based clustering and routing in cognitive radio sensor network

Sunitha¹,

Balmuri

Prado

et al. 2022

Trans Emerging Tel Tech

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Image fusion and enhancement based on energy of the pixel using Deep Convolutional Neural Network

Rajesh¹,

Sitharthan

2021

Multimed Tools Appl

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Effective Utilization of Pineapple Waste

Madhumeena¹,

Radhakrishnan²,

Prasad³

2021

J. Phys.: Conf. Ser.

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India is the largest fruit and vegetable producer. Until fruit is eaten, fruit peel stays waste. Phenolic acids, ascorbic acid, β-carotenes, and flavonoids are the most bioactive components of pineapples. This is one of the secondary plant metabolites abundantly present in pineapple skins in this sample, ferulic acid. Ferulic acid is a low-toxic phenolic acid widely used in diet and cosmetics. Ferulic acid is extracted using different conventional and non-conventional methods such as Soxhlet extraction, Supercritical fluid extraction and Solvent extraction and the amount of ferulic acid is quantified using High performance liquid chromatography (HPLC). The study also evaluated the presence of total phenolic content (Gallic acid equivalent/GAE)and antioxidant activity. Soxhlet extraction using methanol and petroleum ether was the best solvent, methanol showed maximum ferulic acid concentration (0.7696 g/100g), phenolic content (2.365 mg g/GAE), antioxidant activity (45%) and percentage yield (90.5% mg). This study also analysed micronutrients such as vitamins (A, B, B1, B2, B6, B12 and C), calcium, potassium, phosphorus, iron, manganese, zinc and dietary fibre in the pineapple peel

show abstract

Comparative analysis of distributive linear and non-linear optimised spectrum sensing clustering techniques in cognitive radio network systems

Cited by 51 publications

References 8 publications

Congestion centric multi‐objective reptile search algorithm‐based clustering and routing in cognitive radio sensor network

Congestion centric multi‐objective reptile search algorithm‐based clustering and routing in cognitive radio sensor network

Image fusion and enhancement based on energy of the pixel using Deep Convolutional Neural Network

Effective Utilization of Pineapple Waste

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