Perceive Intrusion in IWSN with STL and Cognitive Radio

Industries come ahead with wireless networks for transmission of information due to high cable cost. Wireless Sensor Network consists of large number of sensor nodes; to monitor these nodes at all time is intricate process. The transaction in wireless sensor networks is insecure and therefore we accompany with encryption processes. The encryption is a tedious process and therefore it consumes large power apart from transmission of data. To overcome large power consumption and protection of data we enhance with Stop Transmit and Listen (STL) scheme combined with Cognitive Radio system. STL is a simple and an effective scheme to detect malicious node. Every node has its own built-in time to stop their transmission. During transmission every node stops their transmission for few seconds and listens for any malicious behavior. If an intruder transmits in non-transmitting time then it is caught by their neighbor nodes in the network. Cognitive radio utilizes the radio spectrum more efficiently for prevailing conditions of communications. It helps in selection of frequency band, type of modulation and power levels. Apart from these when an eavesdropper overhears data while transmitting it can be avoided by means of analyzing secrecy capacity. Secrecy capacity is known to be the difference between channel capacity of main link and wiretap link of wireless transmission. When the secrecy capacity fluctuates, we able to predict that data transmitted are intercepted.