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iDEA: DREXEL LIBRARIES E-REPOSITORY AND ARCHIVES

iDEA: DREXEL LIBRARIES E-REPOSITORY AND ARCHIVES

Main sections

Detection in distributed sensor networks

Details
Title
Detection in distributed sensor networks
Author(s)
Lin, Erwei
Advisor(s)
Kam, Moshe
Keywords
Electric engineering; Multisensor data fusion; Sensor networks
Date
2005-11
Publisher
Drexel University
Thesis
Ph.D., Electrical Engineering -- Drexel University, 2005
Abstract
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 resultsfrom 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.
URI
http://hdl.handle.net/1860/1303
In Collections
Theses, Dissertations, and Projects

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