CSP-1.0: A Cascaded Storage Protocol for Consumer WiFi Intelligence Applications — A Convergent Five-Stage Framework Proposal

We propose the Cascaded Storage Protocol (CSP-1.0), a five-stage architecture for the physical and digital storage of WiFi session intelligence content at consumer scale. The protocol synthesizes compressed sensing mathematics, surface acoustic wave delay line engineering, electromagnetically induced transparency metamaterial storage, Rydberg atomic ensemble microwave transduction, and NASA's Delay-Tolerant Networking Bundle Protocol v7. Our central contribution is the CSP Bandwidth Argument showing that sequential application of compressed sensing and Shannon compression can reduce effective WiFi storage bandwidth from 83 MHz to below the 2.1 MHz demonstrated storage bandwidth of an ambient-temperature Rydberg atomic ensemble. This paper presents a theoretical framework proposal with explicit falsifiability conditions. We submit it to establish priority and invite experimental response.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-16
DOI
https://doi.org/10.5281/zenodo.20736915
Primary Topic
Distributed systems and fault tolerance
Type
preprint
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preprint

CSP-1.0: A Cascaded Storage Protocol for Consumer WiFi Intelligence Applications — A Convergent Five-Stage Framework Proposal

Dena White
Zenodo (CERN European Organization for Nuclear Research)
Distributed systems and fault tolerance
preprint

CSP-1.0: A Cascaded Storage Protocol for Consumer WiFi Intelligence Applications — A Convergent Five-Stage Framework Proposal

Dena White
preprint en

Abstract

We propose the Cascaded Storage Protocol (CSP-1.0), a five-stage architecture for the physical and digital storage of WiFi session intelligence content at consumer scale. The protocol synthesizes compressed sensing mathematics, surface acoustic wave delay line engineering, electromagnetically induced transparency metamaterial storage, Rydberg atomic ensemble microwave transduction, and NASA's Delay-Tolerant Networking Bundle Protocol v7. Our central contribution is the CSP Bandwidth Argument showing that sequential application of compressed sensing and Shannon compression can reduce effective WiFi storage bandwidth from 83 MHz to below the 2.1 MHz demonstrated storage bandwidth of an ambient-temperature Rydberg atomic ensemble. This paper presents a theoretical framework proposal with explicit falsifiability conditions. We submit it to establish priority and invite experimental response.

Zenodo (CERN European Organization for Nuclear Research)
Conditions Extrêmes et Matériaux Haute Température et Irradiation (FR)
Distributed systems and fault tolerance
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