Improving the communication of Internet of Things (IoT) network is a challenging task as it connects a wide-range of heterogeneous mobile devices. With an extended support from cloud network, the mobile IoT devices demand flexibility and scalability in communication. Increase in density of communicating devices and user request, traffic handling and delay-less service are unenviable. This manuscript introduces genetic algorithm based adaptive offloading (GA-OA) for effective traffic handling in IoT-infrastructure-cloud environment. The process of offloading is designed to mitigate unnecessary delays in request process and to improve the success rate of the IoT requests. The fitness process of GA is distributed among the gateways and infrastructure to handle requests satisfying different communication metrics. The process of GA balances between the optimal and sub-optimal solutions generated to improve the rate of request response. Experimental results prove the consistency of the proposed GA-OA by improving request success ratio, achieving lesser complexity, delay and processing time.

In this paper, Fuzzy Logic controller is developed for ac/ac Matrix Converter. Furthermore, Total Harmonic Distortion is reduced significantly. Space Vector Algorithm is a method to improve power quality of the converter output. But its quality is limited to 86.7%.We are introduced a Cross coupled DQ axis controller to improve power quality. The Matrix Converter is an attractive topology for High voltage transformation ratio. A Matlab / Simulink simulation analysis of the Matrix Converter system is provided. The design and implementation of fuzzy controlled Matrix Converter is described. This AC-AC system is proposed as an effective replacement for the conventional AC-DC-AC system which employs a two-step power conversion.

Computer Applications in Power System is place an important role to verify the system performance and real time monitoring systems. Most of the Electrical system uses LABVIEW and other software to monitor real time electrical transition. In this paper we are focusing on Power Electronic Conversion system. Power Electronic System is easily simulated using MATLAB Software. Here we are giving easy simulation of Matrix converter and its result. Clean power development in power electronic system is an emerging area of research in Electrical Engineering. Most of the power electronic system introduces harmonics in power system. Elimination of harmonic is a tedious process. Different control strategy should be developed to reduce the harmonic. In Rectifier fed Inverter system has many disadvantages because of DC link filter. Matrix converter avoids this DC link filter and output approaches input. In this paper we have simulated Single phase Matrix Converter. Computer based simulation using MATLAB and Real Time implementation using PIC89C51 validate its originality. Finally we have compared different values of Harmonics.