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Established street lighting systems have certain drawbacks as they are worked truly. Accepting that this system is not monitored suitably, this could provoke more energy consumption. This structure requires genuine checking and energy management techniques to lessen energy wastage. To diminish this energy wastage, we propose a structure which works thus and also can be remotely supervised and controlled with virtual switches using GUI. This Wi-Fi enabled structure uses ESP32 as both a controller and Wi-Fi module. Here we use low bandwidth,a lightweight show like MQ Telemetry Transport show forIOT execution. To reduce cost of the structure, all streetlight(Wi-Fi) center points are related with a singular switch using Wi-Fimesh association. Each center point is having ESP32 and different sensorsfor power assessment and article disclosure. This structure can be controlled therefore established on periodic data set aside in central base station.In street light failure condition ESP32 will send a fail signal to base station and base station will suggest maintenance operator through mail. Here base station and each node communicate through cloud.For remotely control and supervision a GUI is developed using HTML and JavaScript. References 1. F.Leccese,"Remote-ControlSystemofHighEfficiencyandIntelligent Street Lighting Using a ZigBee Network of Devices andSensors," in IEEE Transactions on Power Delivery, vol. 28, no. 1,pp.21-28,Jan.2013. 2. G. Shahzad, H. Yang, A. W. Ahmad and C. Lee, "Energy-EfficientIntelligent Street Lighting System Using Traffic-Adaptive Control,"in IEEE Sensors Journal, vol. 16, no. 13, pp. 5397-5405, July1,2016. 3. solarenergymonitoringsystem," 2017InternationalConferenceonEnergy,Communication,DataAnalyticsandSoftComputing(ICECDS),Chennai,2017,pp.1574-1579. 4. Harshit Satyaseel, Gaurav Sahu, Manisha Agarwal, Jagrity Priya,“Light Intensity Monitoring & Automation of Street Light Controlby IOT”,International Journal of Innovations & Advancement inComputerScienceIJIACS, Volume6, Issue10 October2017. 5. O.Rudrawar,S.Daga,J.R.ChadhaandP.S.Kulkami,"Smartstreetlightingsystemwithlightintensitycontrolusingpowerelectronics," 2018TechnologiesforSmart-CityEnergySecurityandPower(ICSESP),Bhubaneswar,2018,pp.1-5. 6. B. Kul, "IoT-GSM-based high-efficiency LED street light controlsystem(IoT-SLCS)," 2017XXVIInternationalScientificConferenceElectronics (ET),Sozopol,2017,pp.1-5. 7. S. Biansoongnern and B. Plangklang, "Efficiency improvement ofenergy management for LED street lightings," 2017 InternationalElectricalEngineeringCongress(iEECON),Pattaya,2017,pp.1-4. 8. R. K. Kodali and K. S. Mahesh, "A low cost implementation ofMQTTusingESP8266," 20162ndInternationalConferenceonContemporary Computing and Informatics (IC3I), Noida, 2016, pp.404-408. 9. SatyavratWagle,“SemanticDataExtractionoverMQTTforIoTcentricWirelessSensorNetworks”,2016InternationalConferenceonInternetofThingsandApplications(IOTA)Maharashtra Institute of Technology,Pune, India 22 Jan - 24 Jan,2016.