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—Distributed signal processing techniques for classification of objects are studied assuming knowledge of sensor measurement statistics. The spatio-temporal signal field generated by an object is modeled as a bandlimited stationary ergodic Gaussian field. The model suggests a simple abstraction of correlation between node measurements: it partitions the(More)
We address the problem of distributed classification of multiple targets in a wireless sensor network. The maximum number of targets is known a priori but the actual number of distinct targets present in any given event is assumed unknown. Feature vectors from noise-corrupted measurements are collected at nodes in the region of interest. The target signal(More)
SUMMARY Attenuation measurement on Ku-band satellite signal in a tropical site, Fiji is presented. Rain-attenuation prediction by ITU-R and the Crane Global models showed noticeable deviation to the measured values. Unlike the monotonic decrease predicted by these models, exceedance of rain-rate and attenuation in Fiji and other tropical regions showed the(More)
This paper is aimed at the stipulations which arise in the traditional online auctions as a result of various anomalies in the reputation and trust calculation mechanism. We try to improve the scalability and efficiency of the online auctions by providing efficient trust management methodology considering several factors into consideration. A comparison(More)
The objective of this paper is to emphasize the need for an effective security model and its implementation for distributed applications. Online web-based education needs to share the resources dynamically, irrespective of the network and platform on which the services are deployed. A communication protocol called Simple Object Access Protocol (SOAP)(More)