ArticleScientific reports2024
Comprehensive analysis of a stochastic wireless sensor network motivated by Black-Karasinski process.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Fractional modeling and numerical investigations of COVID-19 epidemic model with non-singular fractional derivatives: a case study.Scientific reports · 2025Article
- A novel numerical solution of nonlinear stochastic model for the propagation of malicious codes in Wireless Sensor Networks using a high order spectral collocation technique.Scientific reports · 2025Article
- Controlling worm propagation in wireless sensor networks: Through fractal-fractional mathematical perspectives.PloS one · 2025Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Wireless sensor networks (WSNs) encounter a significant challenge in ensuring network security due to their operational constraints. This challenge stems from the potential infiltration of malware into WSNs, where a single infected node can rapidly propagate worms to neighboring nodes. To address this issue, this research introduces a stochastic
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.