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  1. Home
  2. Faculty Publications
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  4. HESTStream: A Hybrid Edge-Stream Copt and PReff Processing Framework for Sustainable Smart Cities Using Adaptive Caching and Environmental Monitoring
 
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HESTStream: A Hybrid Edge-Stream Copt and PReff Processing Framework for Sustainable Smart Cities Using Adaptive Caching and Environmental Monitoring

Journal
2024 International Conference on IT Innovation and Knowledge Discovery (ITIKD)
Date Issued
2025-04-13
Author(s)
Akey Sungheetha  
Rajesh Sharma R  
Sheila Mahapatra  
R Tamilarasi  
A. Ezil Sam Leni  
DOI
http://doi.org/10.1109/ITIKD63574.2025.11005025
Abstract
This paper presents HESTStream, a novel hybrid edge-stream processing framework that integrates environmental monitoring with real-time data analytics for sustainable smart cities. The framework addresses key challenges in stream pro-cessing by implementing an adaptive hash-based hybrid caching model (HCache) combined with distributed sensor networks. Our approach leverages triboelectric sensors and edge computing to enable real-time environmental monitoring while optimizing power consumption and data processing efficiency. Experimental results across 14 international deployment sites demonstrate that HESTStream achieves 47% improved processing latency, 38% reduced power consumption, and 42% enhanced cache hit ratio compared to existing methods. The framework provides a scalable solution for smart city applications requiring real-time environmental data processing while maintaining sustainability goals. © 2025 IEEE.
Subjects

Edge Computing

Environmental Monitor...

Real-Time Analytics

Smart Cities

Stream Processing

Sustainable Computing...

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