COMPRESSIVE SENSING IN DATA LOSS RECOVERY USING WIRELESS NETWORK

In wireless sensor network data loss is the major problem which occurred during the transmission of data between sensor nodes over the network. The loss of data should affect the communication between source and destination so, to minimize or to reduce the data loss, data loss recovery scheme called as “compressive sensing� based data loss recovery mechanism is proposed. Compressive Sensing technique can be embedded into smart wireless sensors and effectively increases wireless communication reliability without retransmitting the data and also to reduce communication time and power savings. According to the theory of CS, the raw signal can be effectively reconstructed from the received incomplete transformed signal given that the raw signal is compressible in some basis and the data loss ratio is low. To secure the communication data by using cryptography standard mechanism. It is used to save the confidentiality of transferred between source and destination.