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Data · dataset · 2026

<b>Deductive Validation of Structural Interoperability Models Assessing Protocol Scalability in Dense Environmental Sensor Deployments</b>

Listed in ZivaHub and Deakin Research Online — shown once because both records carry DOI 10.6084/m9.figshare.34029900.v1

<h2 dir="ltr"><i>Structural interoperability models for environmental IoT are typically validated by demonstration : an architecture is built, it functions at a given scale, and its designers infer that it scales.

Description

This article argues that such inference is unsound, and replaces it with deductive validation. We state five postulates drawn from an existing conceptual framework for structural interoperability in environmental IoT typed observations, contract-bound transformations, a common temporal substrate, finite node resources, and progressive coherence decay and derive from them five results concerning dense deployments.

The derivations yield three counter-intuitive conclusions. First, hierarchical synchronization can hold per-node message cost constant while coherence degrades through accumulated path length, so that a protocol reported as scalable in accuracy may still be scaling in unmeasured error. Second, the capacity available per node for coherence maintenance necessarily shrinks with density, because per-node throughput under interference declines as</i><i>while the synchronization budget is drawn from the same finite capacity.

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Third, pairwise semantic mediation is combinatorially infeasible, since it requires</i><i>correspondences and therefore hub-based mediation is not a design preference but a deductive necessity. We confront these predictions with measurement evidence from large-scale deployments, capacity analyses, and synchronization studies, and identify which are confirmed, which remain untested, and which contradict reports in the literature.

The result is a testable specification for scalability claims in environmental IoT.</i></h2><p></p>

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Catalogue records · 1

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Provenance · 2 source records, 13 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/3402990013 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/3402990013 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].anzsrc:field:401101mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Air pollution modelling and control']
concepts[field].anzsrc:field:401101mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['Air pollution modelling and control']
concepts[field].anzsrc:field:401102mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Environmentally sustainable engineering']
concepts[field].anzsrc:field:401102mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['Environmentally sustainable engineering']
concepts[field].local:field:earth-environmentalmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:engineeringmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:engineeringmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
descriptionsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/description
licensesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/rights
publication_datesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
titlesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/title