There has been an extensive study in the areas of multi-sensor fusion and real-time sensor integration for time-critical sensor readings [3]. A distributed sensor data network is a set of spatially scattered sensors designed to derive appropriate inferences from the information gathered. The development of such networks for information gathering in unstructured environments is receiving a lot of interest, partly because of the availability of new sensor technology that is economically feasible to implement [4]. Sensor data networks represent a class of distributed systems that are used for sensing and in situ processing of spatially and temporally dense data from limited resources and harsh environments, by routing and cooperatively processing the information gathered. In all these systems, the critical step is the fusion of data gathered by sensors to synthesize new information.
