Detection in distributed sensor networks /
Detection in Distributed Sensor Networks
Moshe Kam, Ph.D.
This thesis describes detection and communication algorithms for distributed sensor
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
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.
School Location:USA - Pennsylvania
Source Type:Master's Thesis
Keywords:electric engineering multisensor data fusion sensor networks
Date of Publication: