Security in terms of . This technique of secure data transmission is very useful in securing the integrity of data sent by the Unmanned Aerial Vehicles in military application to commercially used Electricity meter. Since the above mentioned devices uses microcontroller to send data through internet hence this data is always going to be susceptible to above mentioned threats so it is important to ensure that it doesn't fall inwrong hands, our objective is that our microcontroller sends the data to remote location has authenticity, confidentiality and integrity. First we will send some meaningful text already stored in controller of STM3240G Eval-board then that data will be sent to server. These encrypted packets will be sending to remote server through Ethernet. At the receiver end this data will be received and decrypted to get the original captured data.

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Leading-edge power systems which are employed in present-day scenario are significantly complex, extensively distributed and populous. Rising costs of generating power, ever-increasing demand for electricity and shortage of resources have led to introduction of applications of optimal power systems. Hence Smart Energy Meters (SEMs) and highly efficient algorithms are required to facilitate Automated Load Scheduling (ALS). The latest optimization methods for ALS which works on the principle of genetics and natural selection has been presented in the paper. Differential Evolution (DE) is a simple numerical optimization approach that is easy to implement and significantly faster and robust. This article presents a novel mathematical modelling approach for the minimization of the energy consumption. The paper proposes an in depth modelling approach for ALS considering numerous aspects of the DE: initialization, mutation, crossover and selection. Case-studies have been made which include multiple aspects of non-linearities like prohibited zones of operation and transmission losses. The performance of DE based ALS algorithm was implemented using Python and evaluated at the test site in New Delhi which integrates a local renewable energy source (Local PV Grid) with an SEM. The Peak-to-Average (PAR) Ratio was used as a measure of evaluation. The proposed algorithm saved up to 19.42% power in the best-case scenario.

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