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@article{204465,
        author = {Sajan Sathyan},
        title = {Implementation Of Energy Saving Techniques for Sensor Nodes in IoT Applications},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {152-159},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204465},
        abstract = {Prior approaches primarily reduce energy usage through three strategies: minimizing transmitted data, optimizing encoding efficiency, and adapting processor activity. However, these methods often trade off data fidelity for power savings. The method is solely designed to optimize the energy consumption for sensor processing layers in the Internet of Things (IoT). Sleep time calculation algorithms are built on the gateway to predict the sleep time of sensor nodes according to information quality, information history, and remaining battery capacity. The power reduction techniques are designed to turn off the functions of node sensors in sleep mode. Sensor Node consumes 2.84% of battery power compared to12.52% of reading data in a given cycle of 2hours.Transmission results are100% successful rate with distances less than 500m. The sensor node consumes 4.47mAh to 28.8mA, corresponding to one AA battery that can sustain the node from 15.6 hours to 11 days. The study also calculates the solar cell solution provided for sensor nodes.},
        keywords = {Wireless sensor network, IoT, data collection and analysis, low power, sleep mode.},
        month = {June},
        }