Fault-Tolerant QCA-Based Parity Pre-Filtering Circuits for Lightweight Edge-IoT Transaction Screening

dc.contributor.author Ahmadpour, Seyed-Sajad
dc.contributor.author Ajlouni, Naim
dc.contributor.author Zohaib, Muhammad
dc.contributor.author Selvi, Osman
dc.date.accessioned 2026-06-10T15:28:15Z
dc.date.available 2026-06-10T15:28:15Z
dc.date.issued 2026
dc.description.abstract Edge Internet of Things (IoT) blockchain deployments increasingly rely on continuous transaction ingestion from resource-constrained IoT devices to nearby edge gateways over heterogeneous wireless links. In this setting, transient channel noise and packet corruption can inject invalid payloads into the edge processing pipeline and trigger unnecessary buffering, parsing, and, most critically, computationally expensive cryptographic operations such as digital signature verification. This leads to wasted computation, increased latency, and reduced energy efficiency at the edge, particularly under dense IoT traffic. This paper presents an energy-aware and fault-tolerant Quantum-Dot Cellular Automata (QCA)-based integrity pre-filter for IoT-to-edge blockchain transaction ingestion. At the circuit level, we adapt and modify a previously reported fault-tolerant five-input majority gate (MV5) structure and use it as a robust primitive for nanoscale integrity-screening circuits. Building on this modified MV5, we design a set of QCA integrity blocks, including a parity checker, a compact XNOR gate circuit, a parity-bit generation circuit, and a sender-to-channel/receiver nano-communication integrity workflow suitable for early screening of corrupted payloads. Compared with the best previously reported baseline considered in this study, the modified MV5 achieves 76.47% tolerance to single-cell omission defects, corresponding to a 17.47 percentage-point increase and an approximately 29.61% relative improvement over the prior 59% omission-tolerance result, while preserving 100% tolerance against extra-cell deposition defects. At the system level, the proposed circuit is discussed as a potential early screening stage for edge-IoT blockchain transaction ingestion. A bounded analytical model is used to estimate the possible reduction in unnecessary signature-verification workload under assumed corruption and detection conditions. This analysis is not intended as a deployment-level validation; full edge-node implementation, throughput measurement, queueing-delay evaluation, real traffic traces, retransmission behavior, and empirical signature-verification profiling remain future work. The proposed parity/chunk-parity pre-filter is designed for low-cost detection of random transmission-induced corruption and does not replace cryptographic authentication, hashing, digital signatures, CRC-based detection, or blockchain validation. All proposed designs are validated using QCADesigner tools.
dc.identifier.doi 10.3390/computers15050316
dc.identifier.issn 2073-431X
dc.identifier.scopus 2-s2.0-105040071885
dc.identifier.uri https://hdl.handle.net/123456789/1582
dc.identifier.uri https://doi.org/10.3390/computers15050316
dc.language.iso en
dc.publisher MDPI
dc.relation.ispartof Computers
dc.rights info:eu-repo/semantics/openAccess
dc.subject Blockchain Transaction Ingestion
dc.subject Quantum-Dot Cellular Automata (QCA)
dc.subject Edge Computing
dc.subject Internet of Things (IoT)
dc.title Fault-Tolerant QCA-Based Parity Pre-Filtering Circuits for Lightweight Edge-IoT Transaction Screening en_US
dc.type Article
dspace.entity.type Publication
gdc.author.scopusid 57194594884
gdc.author.scopusid 57202686649
gdc.author.scopusid 59708012900
gdc.author.scopusid 58382471400
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.description.department Fenerbahçe University
gdc.description.departmenttemp [Selvi, Osman] Fenerbahce Univ, Dept Comp Engn, TR-34758 Istanbul, Turkiye; [Ahmadpour, Seyed-Sajad; Ajlouni, Naim] Istanbul Atlas Univ, Dept Comp Engn, TR-34403 Istanbul, Turkiye; [Zohaib, Muhammad] Istanbul Atlas Univ, Dept Biomed Engn, TR-34403 Istanbul, Turkiye
gdc.description.issue 5
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.volume 15
gdc.description.woscitationindex Emerging Sources Citation Index
gdc.identifier.wos WOS:001774262800001
gdc.index.type Scopus
gdc.index.type WoS
relation.isAuthorOfPublication.latestForDiscovery e7aa4a9d-e461-47e8-a3f0-6f3dcff7f79a
relation.isOrgUnitOfPublication.latestForDiscovery 85e04a04-fb9d-4894-961f-e92f27bb6cb6

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