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@article{189656,
        author = {P Santhosh and T Venkanna Babu and B Sasikala sri and B Sneha},
        title = {EFFICIENT BIN LEVEL DATA COMPRESSOR USING VERILOG ENCODER FOR SMART WASTE SYSTEMS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {8104-8107},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189656},
        abstract = {Effective waste management is one of the most critical concerns in the development of smart and sustainable cities. This paper proposes an *Efficient Bin-Level Data Compressor using a Variable Encoder (VERY Encoder) * that optimizes data handling in smart waste monitoring systems. Traditional IoT-based systems generate large volumes of sensor data, such as bin fill level, weight, temperature, and gas concentration, which further increases transmission cost, energy consumption, and storage inefficiency. The proposed VERY Encoder uses an adaptive compression algorithm that varies encoding parameters according to data variation and thereby reduces redundancy and bandwidth consumption significantly. The system integrates IoT-enabled ultrasonic and weight sensors with the cloud-based monitoring platform to offer real-time data collection, visualization, and prediction analytics. This will provide improved communication efficiency, prolonged lifetime of sensor nodes, and enable scalable, energy-efficient, and intelligent urban waste management.},
        keywords = {Iot-based monitoring, Data compressor, Variable Encoder (VERY Encoder), Bin-Level Data Optimization, Energy Efficiency, Bandwidth Reduction, Real-Time Monitoring, Urban Sustainability, Waste Bin Sensors, Data Transmission Optimization},
        month = {December},
        }