Agent based Context aware Image Fusion for Military sensor networks

This paper proposes an Agent based Context aware Image Fusion for Military sensor networks (ACIF-MSN) to form an improved infrastructure for multi-sensor image fusion. This paper considers three contexts namely temporal, emergency and computational contexts. The mobile agent used in the scheme roams around different active sensor nodes in each of the clusters to perform context aware image fusion based on predetermined signal strength using wavelet transform. Finally, once all the relevant nodes have been visited, agent transmits the fused image to the sink node. This work limits the information to only images. The scheme is evaluated using simulation models.