Wireless Sensor Networks (WSN) have been the most widely selected research area for a decade now. Researchers
have identified the usability of sensor networks in huge variety of applications. The emergence of cognitive networks
has led the sensor networks to adapt to the network conditions and the application dynamics. The work presented in
this paper proves a unique cognitive solution for the problem of dynamic target coverage problem in the
designated area of military surveillance. The nodes used for the acquisition of target coverage problem in the
network remains static and transmits the information to the neighboring nodes using a movement prediction
algorithm. The proposed approach shows better improvement in coverage and network lifetime in terms of position
estimation and tracking target when compared to non-relaying techniques.