An implementation of energy efficient data compression & security mechanism in clustered wireless sensor network

In WSN the amount of data transmission has become an important issue. New technology of compressive sensing (CS) in sensor networks new idea for data collection and target localization are research areas in sensor networks. Compressive Sensing (CS) minimize the number of data transmissions and balance of the traffic load throughout networks. Afterall, by using pure compressive sensing the total number of transmissions for data collection is still high. To minimize the number of transmissions in sensor networks, hybrid method of Compressive Sensing (CS) is used. Further to provide data compression in WSN a light weight Enhanced Lossless Entropy Compression (LEC) algorithm will be used for reducing size of data in the Sensor Network. Security is the major issue in the Sensor Network and to make the data secure the Advance Secured and Efficient Transmission-Identity SET-IBS protocol will be used. It is a light weight algorithm which consumes less energy while encrypting and decrypting the data. This encryption takes less energy and therefore it is helpful to make the WSN efficient. In this project the main focus is on optimization of energy in terms of lightweight security and compression techniques which reduces the complexity of Wireless Sensor Network the Advance SET-IBS protocol for encrypting the data on the sensor node is proposed.