In these days use of digital data exchange is increasing day by day in every field. Information security plays very important role in storing and transmitting the data. When we transmit a multimedia data such as audio, video, images etc. over the network, cryptography provides security. In cryptography, we encode data before sending it and decode it on receiving, for this purpose, we use many cryptographic algorithms. AES and DES are most commonly used cryptographic algorithms. AES provides the encryption to secure the data before the transmission and DES also provides security as AES. In this paper we discussed AES and DES and their comparison using MATLAB software .After applying AES and DES, we compare their result on the basis of avalanche effect, simulation time and memory required by AES and DES.

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Network congestion is one of the major issues in wireless sensor networks (WSNs) that result in packet loss, reduced network lifetime, low throughput and energy waste. Determining a better path to mitigate the congestion is a better approach to improve the performance of WSNs. In this paper, an adaptive neuro-fuzzy inference system (ANFIS) based path determination approach is proposed to mitigate the congestion with black widow optimization (BWO) algorithm. The hop count, buffer occupancy and remaining energy are considered as the input factors for the ANFIS. The simulation results of the proposed method show better quality of service, high energy, low delay, high packet delivery ratio with number of increasing alive nodes when compared to existing methods.