Comprehensive Review of Optimal Utilization of Clock and Power Resources in Multi Bit Flip Flop Techniques

Rekha, S.; Nataraj, K. R.; Rekha, K R; Mallikarjunaswamy, S

doi:10.17485/ijst/v14i44.1790

Cited by 5 publications

(4 citation statements)

References 34 publications

(47 reference statements)

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“…The BP decoding technique is depicted in Figure 9 as a flow chart. The process goes back to step 1 if the number of repetitions is the maximum and if it is not a valid code word [59][60][61][62][63]. The BP algorithm works well for codes such as LDPC, but the tanh and tanh-1 operations are too difficult to implement in hardware.…”

Section: Flow Chartmentioning

confidence: 99%

Enhancing 5G LTE Communications: A Novel LDPC Decoder for Next-Generation Systems

Venkatesh,

Mallikarjunaiah,

Srikantaswamy

et al. 2024

IDA

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The advent of fifth-generation (5G) long-term evolution (LTE) technology represents a critical leap forward in telecommunications, enabling unprecedented high-speed data transfer essential for today's digital society. Despite the advantages, the transition introduces significant challenges, including elevated bit error rate (BER), diminished signal-to-noise ratio (SNR), and the risk of jitter, undermining network reliability and efficiency. In response, a novel low-density parity check (LDPC) decoder optimized for 5G LTE applications has been developed. This decoder is tailored to significantly reduce BER and improve SNR, thereby enhancing the performance and reliability of 5G communications networks. Its design accommodates advanced switching and parallel processing capabilities, crucial for handling complex data flows inherent in contemporary telecommunications systems. A distinctive feature of this decoder is its dynamic adaptability in adjusting message sizes and code rates, coupled with the augmentation of throughput via reconfigurable switching operations. These innovations allow for a versatile approach to optimizing 5G networks. Comparative analyses demonstrate the decoder's superior performance relative to the quasi-cyclic low-density check code (QCLDC) method, evidencing marked improvements in communication quality and system efficiency. The introduction of this LDPC decoder thus marks a significant contribution to the evolution of 5G networks, offering a robust solution to the pressing challenges faced by next-generation communication systems and establishing a new standard for high-speed wireless connectivity.

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Section: Flow Chartmentioning

confidence: 99%

Enhancing 5G LTE Communications: A Novel LDPC Decoder for Next-Generation Systems

Venkatesh,

Mallikarjunaiah,

Srikantaswamy

et al. 2024

IDA

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“…So, one of the problems in the fog environment is how to best assign jobs to FNs. For a scheduling algorithm to work well, it should lower costs and energy use while also taking into account how different FNs are and how committed people are to getting things done on time [82][83][84][85][86][87][88][89][90][91][92]. This study gives a thorough taxonomy to help us understand the research problems better and points out important problems with previous work.…”

Section: Fc Task Schedulingmentioning

confidence: 99%

A Comparative Review of Internet of Things Model Workload Distribution Techniques in Fog Computing Networks

Puttaswamy,

Murthy,

Degha

2024

IDA

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In the realm of fog computing (FC), a vast array of intelligent devices collaborates within an intricate network, a synergy that, while promising, has not been without its challenges. These challenges, including data loss, difficulties in workload distribution, a lack of parallel processing capabilities, and security vulnerabilities, have necessitated the exploration and deployment of a variety of solutions. Among these, software-defined networks (SDN), double-Q learning algorithms, service function chains (SFC), virtual network functions (VNF) stand out as significant. An exhaustive survey has been conducted to explore workload distribution methodologies within Internet of Things (IoT) architectures in FC networks. This investigation is anchored in a parameter-centric analysis, aiming to enhance the efficiency of data transmission across such networks. It delves into the architectural framework, pivotal pathways, and applications, aiming to identify bottlenecks and forge the most effective communication channels for IoT devices under substantial workload conditions. The findings of this research are anticipated to guide the selection of superior simulation tools, validate datasets, and refine strategies for data propagation. This, in turn, is expected to facilitate optimal power consumption and enhance outcomes in data transmission and propagation across multiple dimensions. The rigorous exploration detailed herein not only illuminates the complexities of workload distribution in FC networks but also charts a course towards more resilient and efficient IoT ecosystems.

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“…This is attributed to its characterisation as a Mixed-Integer Nonlinear Programming (MINLP) problem, notoriously recognised as NP-hard. Subsequently, the Multi-Objective computing (MOV) approach is proposed as a potential resolution [73,74].…”

Section: Elaboration On Qos In Vecmentioning

confidence: 99%

A Comprehensive Exploration of Resource Allocation Strategies within Vehicle Ad-Hoc Networks

Sheela,

Nataraj,

Mallikarjunaswamy

2023

MITS

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In recent years, a surge in the utilisation of vehicle-to-vehicle (V2V) communication has been observed, serving as a pivotal factor in facilitating automatic control of vehicles without human intervention. This advancement has notably curtailed accident rates, mitigated traffic congestions, and augmented vehicular security. Consequently, a meticulous survey has been orchestrated in the domain of Vehicle Ad-Hoc Networks (VANETs), particularly as autonomous vehicles pervade urban landscapes. The necessity for resources to assure secure and consistent operations of an escalating fleet commensurately intensifies with the enlargement of the fleet itself. Intelligent Transportation Systems (ITS) hinge upon VANETs to furnish travellers with secure and pleasant journeys, pertinent information and entertainment, traffic management, route optimisation, and accident prevention. Nevertheless, a plethora of challenges inhibits the delivery of an adequate Quality of Service (QoS) within vehicular networks, such as congested and interrupted wireless channels, a progressively saturated and sprawling spectrum, hardware inconsistencies, and the swift expansion of vehicular communication systems. Contemporary networks and energy grids are subject to strain from daily and recreational activities. As demand perpetually ascends, a necessity arises for more refined tools and methodologies for resource management and a more precise distribution system. This investigation offers an exploration of the most recent practices and trends in VANET resource allocation, with the objective of garnering insights into the existing research landscape and its impelling forces.

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Comprehensive Review of Optimal Utilization of Clock and Power Resources in Multi Bit Flip Flop Techniques

Cited by 5 publications

References 34 publications

Enhancing 5G LTE Communications: A Novel LDPC Decoder for Next-Generation Systems

Enhancing 5G LTE Communications: A Novel LDPC Decoder for Next-Generation Systems

A Comparative Review of Internet of Things Model Workload Distribution Techniques in Fog Computing Networks

A Comprehensive Exploration of Resource Allocation Strategies within Vehicle Ad-Hoc Networks

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