Abstract

E-government adoption in developing contexts faces persistent infrastructure and organizational barriers. In Libya, basic ICT systems, unreliable connectivity, and limited skills continue to inhibit digital transformation efforts. This paper proposes a conceptual framework that leverages Internet of Things (IoT) networks and semantic communications to transform e-government readiness. The methodology outlines a layered design in which IoT sensors and devices gather citizen and environmental data, a semantic encoding layer compresses and interprets information for efficiency, and back-end analytics support improved public services. We evaluate the framework through scenario-based analysis under realistic network constraints (e.g., simulated sensor deployment, data rates, and connectivity levels) using baseline comparisons. Preliminary results indicate notable reductions in data load and improved service reach when semantic IoT processing is applied. The original contributions include: a) a multi-dimensional model integrating semantic IoT communications with e-government readiness factors, b) application of the model to Libya’s context with policy implications, and c) identification of key metrics and evaluation scenarios for transformation. These outcomes suggest that advanced IoT networks can significantly enhance e-government readiness and digital service delivery in resource-constrained environments.

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