Abstract

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.

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