Lifetime ratio improvement in relay nodes using CWSN for cooperative wireless sensor networks

Bhat, Archana; Niranjan, L; Shivaraj, A; Kumar, B Nanda

doi:10.1109/c2i456876.2022.10051217

Cited by 9 publications

(1 citation statement)

References 16 publications

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“…The regenerative token used by the SP will utilise solar-powered gadgets. The routing protocol used by service providers (SPs) is modified based on inter-SP communication in order to establish a predetermined sleep interval inside the network [26]. The use of this approach results in a 29% enhancement in total performance in comparison to fixed-point scheduling, as stated in reference [27].…”

Section: Related Workmentioning

confidence: 99%

Data Perturbation for Pervasive Edge Computing Environments Using Iterative Randomised Parallel Variable Perturbation in Wireless Sensor Network

Shukur,

et al. 2023

Preprint

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The reduction in the size of Packet Forwarding Nodes (PFNs) is a direct consequence of technological advancements in wireless sensor networks (WSN). Each node has an extra characteristic that results in diminished energy levels. The dispersed PFNs are arranged in a squared cross-sectional area, where each node functions as a Sensing Point (SP) capable of performing diverse applications such as temperature, ambient humidity, sound, and pressure measurements. The packet is partitioned into many fragments, with each fragment being classified as either having an exact or variable length. Each individual packet is sent over numerous Physical Forwarding Nodes (PFNs) on route to the data centre, using the PFNs as the underlying mechanism for transmission. The choice of route forwarding nodes (PFNs) is determined by their respective trust levels. Within the network, designated Packet Forwarding Nodes (PFNs) are strategically positioned to facilitate the delivery of packets to the data centre, ensuring the integrity of the data is preserved throughout the process. The process of selecting certain PFNs involves the calculation of meeting probability, remaining energy, data weight, and security value. The comparative analysis involves evaluating the Iterative Randomised Parallel Variable Perturbation (IRPVP) method against conventional approaches based on various parameters, including delay, link count, resource energy, healthy PFNs, non-healthy PFNs, health ratio computation, remaining energy, control to data ratio, and balancing factor. The results of the simulation demonstrate that the efficacy of the proposed Iterative Randomised Parallel Variable Perturbation (IRPVP) method surpasses that of other traditional algorithms.

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Section: Related Workmentioning

confidence: 99%

Data Perturbation for Pervasive Edge Computing Environments Using Iterative Randomised Parallel Variable Perturbation in Wireless Sensor Network

Shukur,

et al. 2023

Preprint

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ADS-based Redeployment Strategy for Wireless Sensor Networks to Improve Coverage Time and Distance

M S,

M.G

et al. 2023

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

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A Novel Based NSEC System for Integrating Network Capability with Wireless Sensor Network using Web Services

Tabasum,

Samuvel,

et al. 2023

2023 International Conference on Smart Systems for Applications in Electrical Sciences (ICSSES)

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Lifetime ratio improvement in relay nodes using CWSN for cooperative wireless sensor networks

Cited by 9 publications

References 16 publications

Data Perturbation for Pervasive Edge Computing Environments Using Iterative Randomised Parallel Variable Perturbation in Wireless Sensor Network

Data Perturbation for Pervasive Edge Computing Environments Using Iterative Randomised Parallel Variable Perturbation in Wireless Sensor Network

ADS-based Redeployment Strategy for Wireless Sensor Networks to Improve Coverage Time and Distance

A Novel Based NSEC System for Integrating Network Capability with Wireless Sensor Network using Web Services

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