HESTStream: A Hybrid Edge-Stream $C_{\text{opt}}$ and $PR_{\text{eff}}$ Processing Framework for Sustainable Smart Cities Using Adaptive Caching and Environmental Monitoring

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.