An efficient reconfigurable peak cancellation model for peak to average power ratio reduction in orthogonal frequency division multiplexing communication system

Rathod, Shivaji; Ramaswamy, Nataraj Kanathur; Mallikarjunaswamy, S; Rekha, R.

doi:10.11591/ijece.v12i6.pp6239-6247

Cited by 7 publications

(6 citation statements)

References 25 publications

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“…The efficiency of the converters ranges between 92% to 94% for the entire input range and provides an output power of 300W. In the study [31], a high-current energy source and low-voltage converter with a high step-up ratio of 300W are proposed. The topology of the integrated boost-flyback (IBF) includes a clamping diode that naturally produces oscillations.…”

Section: Topology Of Fly Back Convertermentioning

confidence: 99%

A Comprehensive Study on DC-DC Converter for Equal Current Sharing and Voltage Stability in Renewable Energy Resources

Shankara,

Srikantaswamy,

Nagaraju

2024

JESA

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This paper presents a comprehensive survey on the use of artificial neural networks (ANN) for enhancing DC-DC converters in renewable energy systems, focusing on equal current sharing and voltage stability amidst the growing scarcity of electricity. The survey methodically examines literature on ANN integration with DC-DC converters, selecting studies based on their relevance to managing renewable energy efficiently, improving power distribution, and the effectiveness of ANN in addressing these challenges. The research identifies several gaps, including optimal power distribution, predictive controller limitations, and the instability of proportional-integral (PI) controls due to online training algorithm adjustments. To bridge these gaps, an innovative ANN-based control method for DC-DC converters is proposed, aimed at bolstering power generation quality, enabling flexible power distribution across microgrids, and enhancing the stability, reliability, and cost-effectiveness of renewable energy sources. Moreover, the paper discusses the correction of offline training problems, feedback error signal corrections, and integral error signals of DC-DC converters, offering new insights and solutions to overcome these technical barriers. This study underscores the converter's size and integration significance, juxtaposing traditional methods with ANN-based controls to highlight the latter's performance and efficiency advantages. Through a detailed review and proposed solutions to significant challenges in renewable energy management, this work contributes to the field's advancement by enhancing the efficiency and reliability of power systems through cutting-edge ANN-based control methods.

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Section: Topology Of Fly Back Convertermentioning

confidence: 99%

A Comprehensive Study on DC-DC Converter for Equal Current Sharing and Voltage Stability in Renewable Energy Resources

Shankara,

Srikantaswamy,

Nagaraju

2024

JESA

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“…As a simulation result, an M/M/1-processor serves sharing queue as the foundation for a BSs uplink communications (BS) [25]- [29]. As per the suggested approach, different IoT network devices will equitably information share the average ratio energy and IoT network devices information resources of a BS even when they have different IoT data rates depending on their channel conditions.…”

Section: Traffic Load Modelmentioning

confidence: 99%

“…The ideal IoT device association rule at the fog node side is the following given the advertised traffic loads of BSs and computing loads of fog nodes 𝑡 𝑘 (𝑥) = 𝑎𝑟𝑔 max 𝑗∈𝐹 𝑒 𝑗 (𝑥)𝑏 𝑗 (𝑥)𝜓 𝑗 (𝑘), where x is a feature vector associated with an IoT device. Proof: The proposed kth iteration side algorithm for IoT side algorithm achieves association IoT device given by 𝑡 𝑘 (𝑥) = 𝑎𝑟𝑔 max 𝑗∈𝐹 𝑒 𝑗 (𝑥)𝑏 𝑗 (𝑥)𝜓 𝑗 (𝑘) Meanwhile, let '𝛼' denote any other possible IoT devices, with a condition and(29).…”

mentioning

confidence: 99%

An efficient reconfigurable workload balancing scheme for fog computing network using internet of things devices

Puttaswamy,

Murthy

2023

IJECE

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Nowadays a huge amount of data has been communicated using fog nodes spread throughout smarty cities. the communication process is performed using fog nodes which are co-located with cellular base stations (BSs) that can move the computing resources close to internet of things (IoT) devices. In smart cities, a different type of data flow has been communicated through IoT devices. The communication process performs efficiently using the remote cloud. The IoT devices very close to the BS can communicate data without using fog nodes. Due to these phenomena, workload unbalancing occurs in IoT devices communicating in fog computing networks. Hence, it generates communication and computing latency. The task distribution process between the IoT devices is unbalanced. Hence, congestion and loss of information occur in fog computing network. A proposed reconfigurable load balancing algorithm (RLBA) is efficiently balancing the workload by reconfigurable communication channels and deviates the task with respect to the BS locations, IoT devices density and load IoT devices in each fog nodes in a network to minimize the communication and computing latency. As per the performance analysis, the proposed algorithm shows better performance as compared to conventional methods’ average latency ratio, communication latency ratio, computing load and traffic load.

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“…In other words, this method makes it possible for TPGF to find more multi-nodes. On CKN-based schedule duty-cycled WSNs, the TPGF algorithm has been successfully used [30]. Figure 4 shows an example of TPGF for duty-cycled WSN schedule based on CKN.…”

Section: The Tpgf Algorithmmentioning

confidence: 99%

Efficient Geographic Routing for High-Speed Data in Wireless Multimedia Sensor Networks

Pandith,

Ramaswamy,

Srikantaswamy

et al. 2023

JESA

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In recent eras, a large amount of data has been transferred through wireless networks in fifth-generation communication using a two-phase geography greedy forwarding (TPGF) routing algorithm with reconfigurable routing metrics represented by RrTPGF in random duty-cycled wireless multilevel multimedia sensor networks (WMSNs). The proposed method reduces the sleep delay in geographic routing networks. the systematically forwarded node in the geographic routing network to identify the significant neighboring nodes. The proposed algorithm is efficient in identifying the geographical distance of the neighboring node and identifying the sleeping delay of the nodes during the communication process. The proposed algorithm efficiently differentiates the worked node from the unworked node on the basis that it identifies the optimal single routing path with a low sleeping delay time at geographic routing. As per the simulation result, the performance of the proposed method shows better results as compared to the conventional methods when considering the scenario size of 750mm × 450mm and 250 nodes with respect to the average delay of the proposed method, which is reduced to 0.6%, and the average hop counts, which are reduced to 0.56% as compared to the conventional method.

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An efficient reconfigurable peak cancellation model for peak to average power ratio reduction in orthogonal frequency division multiplexing communication system

Cited by 7 publications

References 25 publications

A Comprehensive Study on DC-DC Converter for Equal Current Sharing and Voltage Stability in Renewable Energy Resources

A Comprehensive Study on DC-DC Converter for Equal Current Sharing and Voltage Stability in Renewable Energy Resources

An efficient reconfigurable workload balancing scheme for fog computing network using internet of things devices

Efficient Geographic Routing for High-Speed Data in Wireless Multimedia Sensor Networks

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