Detection in distributed sensor networks /

by Lin, Erwei.; Kam, Moshe.; College of, Drexel University.

Detection in Distributed Sensor Networks Erwei Lin Moshe Kam, Ph.D. This thesis describes detection and communication algorithms for distributed sensor networks. In the first part of the thesis, we investigate a new architecture for distributed binary hypothesis detection by employing a Collision Resolution Algorithm (CRA), where all local sensors share a common channel to communicate with the decision fusion center. This architecture is important in the design of sensor fields, where a large number of distributed sensors share a single " emergency " channel. In the second part of the thesis, we discuss an industrial application of such a distributed detection system, namely, the LonWorks control network. We concentrate on the predictive p-persistent CSMA protocol implemented in the MAC layer of LonWorks protocol, which was proposed by the Echelon Corporation in the 1980s. In order to model this algorithm, we expand the CRA model developed in the first part to analyze variable-length messages. Predictions of the model are compared to an OPNET simulator of LonWorks, and to results from a physical network. Finally, we propose a direction-of-arrival (DOA) algorithm for sensor networks. It employs an improved polynomial rooting method using unitary transformations.