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Objective: To monitor and control the weather condition of the state, by scrutinizing each home's weather condition. Analysis: Data which is collected from the sensor is send to the spark analytical streaming for processing; home which is not under the control of normal temperature is update in graph, which is shown by using Thing span, control abnormal temperature by using HVAC system. Findings: In existing system weather condition is only monitored automatically and controlled manually, more energy consumption, whereas in proposed system, sensor receives data and stream data process using spark a, historical data process using Apache hadoop. Improvement: Advance big data analytics tool is used for processing data and automatically controls the weather condition by using HVAC system.

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A trust management scheme is a new technology for underwater wireless sensor networks. The increasing deployments of sensor nodes and dynamic network topology have not been utilized properly due to some of poor controlling mechanism and safety of mobile sensor nodes. The proposed safety and sensor trust cloud management will explain in this paper how safely and securely the trust management is implemented in underwater wireless sensor networks. This method will help all the human beings to protect from electromagnetic ways, and it will increase the human and animal li fe's and reduces the cost of paramedical since the communication is taken in underwater. The SSTMC are compared with existing trust management mechanism and it will conclude how the humans and animals are prevent from the electromagnetic ways.