This paper introduces a framework for processing sensor measurements with respect to their dependability. Each measurement is represented as an observation, i. e., a compound of a name, a measurement instant, the measured value, and a confidence marker indicating the dependability of value and instant. Sensor observations are processed by a network of fusion nodes in order to produce data with ...

Distributed Multi-Scale Data Processing for Sensor Networks by Raymond S. Wagner Wireless sensor networks provide a challenging application area for signal processing. Sensor networks are collections of small, battery-operated devices called sensor nodes, each of which is capable of sensing data, processing data with an onboard microprocessor, and sharing data with other nodes by forming a wire...

In this paper, target differentiation based on pattern of data which are obtained by a set of two ultrasonic sensors is considered. A neural network based target classifier is applied to these data to categorize the data of each sensor. Then the results are fused together by Dempster–Shafer theory (DST) and Dezert–Smarandache theory (DSmT) to make final decision. The Generalized Aggregated Unce...

Wireless sensor networks, a distributed network of sensor nodes perform critical tasks in many application areas such as target tracking in military applications, detection of catastrophic events, environment monitoring, health applications etc. The routing protocols developed for these distributed sensor networks need to be energy efficient and scalable. To create a better understanding of the...