ESPEAR: Enhanced Stream Processing for Environmental Analytics and Renewable Energy Integration Using Smart Dielectric Sensors
This paper presents ESPEAR (Enhanced Stream Processing for Environmental Analytics and Renewable Energy), an innovative methodology integrating smart dielectric sensors with stream processing for environmental monitoring and renewable energy optimization. Building upon recent advances in green chemical reactions using inert solid dielectrics, we develop a comprehensive system that combines real-time environmental data processing with 5G millimeter-wave technology. The system implements the STAR cache-based warehouse architecture for efficient spatial data management while incorporating sustainable energy practices. Our experimental results across fourteen countries demonstrate significant improvements in processing efficiency (45%), energy consumption reduction (38%), and monitoring accuracy (92%) compared to existing methods. The implementation shows particular promise in smart city applications, achieving a 40% reduction in response latency while maintaining 99.9% system reliability.
Authors
- Sheila Mahapatra (ORCID: https://orcid.org/0000-0001-6502-0772)
- Akey Sungheetha
- Rajesh Sharma R
- C H Sairam
Institutions
- Alliance University (IN)
Publication Details
- Published
- 2025-04-13
- DOI
- https://doi.org/10.1109/itikd63574.2025.11004739
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00