Operational Consolidation of Adaptive Compression and Data Stream Simplification to Enhance IoT-based Women’s Safety Applications

International Journal of Electronics and Communication Engineering

© 2025 by SSRG - IJECE Journal

Volume 12 Issue 4

Year of Publication : 2025

Authors : P. Divya, M. Kumaresan, P. Manikandan

10.14445/23488549/IJECE-V12I4P117

How to Cite?

P. Divya, M. Kumaresan, P. Manikandan, "Operational Consolidation of Adaptive Compression and Data Stream Simplification to Enhance IoT-based Women’s Safety Applications," SSRG International Journal of Electronics and Communication Engineering, vol. 12,  no. 4, pp. 174-184, 2025. Crossref, https://doi.org/10.14445/23488549/IJECE-V12I4P117

Abstract:

Advanced strategies for data management are necessary because of the rapid growth of data produced by Internet of Things (IoT) devices in women's safety applications. Within the VigilNet system, this research recommends a combined approach of Adaptive Context-based Lossless Data Compression (ACLDC) and Dynamic Data Stream Simplification (DDSS) to refine the storage and processing of extensive sensor data. ACLDC efficiently lowers the demands on storage by compressing data based on contextual patterns, all whilst preserving important information to uphold the integrity of its threat detection. As a parallel process, DDSS chooses to filter and preprocess data at the source using edge computing methodologies and only sends key information to the system for thorough analysis. This dual methodology minimizes the requirements for bandwidth and storage, cuts latency, and boosts system responsiveness. In trials, the unified methodology of ACLDC and DDSS maintained a 96.8% Critical Data Retention Efficiency (CDRE) and 98% Data Reconstruction Integrity (DRI), significantly enhancing real-time threat detection accuracy and system responsiveness with optimal storage potentials. This approach improved scalability and reliability in diverse safety monitoring applications for women.

Keywords:

Compression, Data Streaming, Safety Applications, Sensor Data, Retention.

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