Energy Consumption Monitoring and Alert System via IoT This paper presents a home energy consumption monitoring system and alerts on Ubidots Cloud Services. In this research work, an Internet of Things (IoT) framework has been implemented to monitor the energy consumption data at home and send the energy consumption data to IoT Cloud. The system utilizes a sensor module (ACS712) that connected with Intel Edison microcontroller to measure the power consumption at the home. The power consumption data is collected and stored into Ubidots IoT Cloud Services. The consumers can monitor the energy consumption at home on daily basis and therefore can control the amount of energy usage daily. The data collection experiment is carried out to see the amount of power consumption at home. The power consumption data is also displayed on the LCD for before and after the load is connected on the system. The IoT dashboard accessible online by user to look into their daily power consumption using IoT dashboard. IoT Cloud perform some event analytic on the collected power consumption data and notify home owner a caution, recommendation through email and telegram which will alert their client about their electrical power utilization have exceed their power consumption limit, thus helps to reduce over usage of power.

Energy Conservation Based on DestinationSequenced DistanceVector Protocol in Intelligent Internet of Things the Intelligent Internet of Things (IoT) caught a significant attention in research area and plays a major role in the advancement of technologies to expand the connectivity of electronics devices. Recent studies expected that in 2020 there will be more than 50 million devices connected to IoT. Any technology expansion will always encounter several issues in matters of the driven techniques and energy consumption. One of the performance enhancement techniques for internet of things is power saving. In this paper, a new power saving method is presented to reduce devices power consumption in IoT. The system proposed can save energy by putting node or device into sleep mode depending on the trace file extracted of the network, this can be considered as a new intelligent feature. Our approach proved that a significant enhancement can be done to the node performance in IoT.