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@article{158185,
        author = {M. SHANMUGAM and K. MARIYAPPAN and M. MEIYAZHAGAN and B. JEEVANANDHAN and K. MANIKANDAN},
        title = {STREET LIGHT POWER MANAGEMENT AND CONTROL SYSTEM USING IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {9},
        pages = {70-74},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158185},
        abstract = {The proposed system is easy to setup and implement and it doesn’t require extra maintenance compared to the already existing system. This system can be further enhanced by writing logic into the code and that can be able to retrieve information of the time of sunset and sunrise from a reliable weather reporting source and automate the process completely by turn ON the street light at the time of sunset and turn it OFF by sunrise. This further eliminates human intervention and a manual visit to the location of the street lights will be required only in case of a malfunction. The efficiency of automated systems is more than the manual systems. We can also reprogram these devices with respect to our needs. Smart street lighting solutions enable control, monitoring and automatic fault detection, transforming these systems into intelligent and energy efficient networks, resulting in huge savings in power bills.  This paper presents an overall analysis of the smart grid solutions for street lighting and techniques to control through internet of things.  By using the API key, the generated data is stored in Thing speak database which we can use for future references.
},
        keywords = {},
        month = {},
        }