An Efficient Big Data Gathering in Wireless Sensor Network using Reconfigurable Node Distribution Algorithm

Mallikarjunaswamy, S; M, Basavaraju N; Nagaraju, Sharmila; Mahendra, H. N.; S, Pooja; Deepak, B L

doi:10.1109/ccip57447.2022.10058620

Cited by 6 publications

(2 citation statements)

References 25 publications

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“…The second sort of node is the check node, which corresponds to m parity check equations. An edge connects a VN to the check node if and only if that particular bit is included in the parity check equation [65]. The bit nodes in the Tanner graph are known as repetition nodes, whereas the check nodes are known as zero-sum nodes.…”

Section: Decoder For An Awgn Channelmentioning

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: Decoder For An Awgn Channelmentioning

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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“…A simultaneous channel and power allocation technique, considering dynamic changes in TVWS availability and vehicle mobility, is proposed herein. Channel allocation is formulated based on user transmission requirements and adjusted power levels to obviate interference with proximate primary and secondary users [77,78]. The proposed optimisation technique facilitates the assignment of numerous cars to a single channel, thereby enhancing system throughput.…”

Section: Exploration Into Tv White Space Utilisation In Vehicular Com...mentioning

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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A Machine Learning based Smart Grid for Home Power Management using Cloud-Edge Computing System

Kavya,

Sharmila,

Naveen

et al. 2023

2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET)

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An Efficient Big Data Gathering in Wireless Sensor Network using Reconfigurable Node Distribution Algorithm

Cited by 6 publications

References 25 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 Comprehensive Exploration of Resource Allocation Strategies within Vehicle Ad-Hoc Networks

A Machine Learning based Smart Grid for Home Power Management using Cloud-Edge Computing System

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