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Context Aware Multisensor Image Fusion for Military Sensor Networks using Multi-Agent system

Author(s): Ashok V. Sutagundar | S. S. Manvi

Journal: International Journal of Ad Hoc, Sensor & Ubiquitous Computing
ISSN 0976-2205

Volume: 2;
Issue: 1;
Start page: 147;
Date: 2011;
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Keywords: Context Aware | Image fusion | Discrete Wavelet transform (DWT) | Agent | Military sensor Networks (MSN).

This paper proposes a Context Aware Agent based Military Sensor Network (CAMSN) to form an improvedinfrastructure for multi-sensor image fusion. It considers contexts driven by a node and sink. The contexts such asgeneral and critical object detection are node driven where as sensing time (such as day or night) is sink driven. Theagencies used in the scheme are categorized as node and sink agency. Each agency employs a set of static and mobileagents to perform dedicated tasks. Node agency performs context sensing and context interpretation based on thesensed image and sensing time. Node agency comprises of node manager agent, context agent and node blackboard(NBB). Context agent gathers the context from the target and updates the NBB, Node manager agent interprets thecontext and passes the context information to sink node by using flooding mechanism. Sink agency mainly comprises ofsink manager agent, fusing agent, and sink black board. A context at the sensor node triggers the fusion process at thesink. Based on the context, sink manager agent triggers the fusing agent. Fusing agent roams around the network, visitsactive sensor node, fuses the relevant images and sends the fused image to sink. The fusing agent uses wavelettransform for fusion. The scheme is simulated for testing its operation effectiveness in terms of fusion time, meansquare error, throughput, dropping rate, bandwidth requirement, node battery usage and agent overhead.
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