@conference {
	title = {Forward Looking Panel Discussion},
	author = {Baras, John S.},
	year = {2009},
	month = {07/2009},
	address = {Denver, Colorado},
	booktitle = {2009 SIAM Conference on Control and its Applications}
}
@conference {
	title = {Efficient Connectivity Topologies for Networked Control Systems},
	author = {Baras, John S.},
	year = {2009},
	month = {07/2009},
	abstract = {This paper presents a perceptually optimized joint source/channel coding scheme for video transmission over satellite broadcast channel. We express the end-to-end expected distortion in terms of the source coder distortion and the channel distortion. Perceptual distortion model just-noticeable-distortion (JND) is applied to improve the subjective quality of compressed video. 3-D wavelet video codec that is jointly optimized with channel codec can remove spatial and temporal redundancy and provide the scalability of video quality for broadcast channel. In order to conceal the errors under bad channel conditions and prevent the error propagation of arithmetic decoding, slicing method and a channel coding scenario that combines RCPC, Reed-Solomon codes and CRC are proposed. Two perceptual distortion indices based on JND are discussed. These two indices are combined in our joint source/channel coding scenario to achieve minimal bandwidth consumption subject to acceptable visual quality under normal and bad channel conditions. Computer simulation is conducted at difference signal-to-noise ratios (SNR). Our system uses offset QPSK (OQPSK) modulation scheme to combat the nonlinear effect of satellite channels. Acknowledgment: Research supported by the Communications and Networks Consortium sponsored by the U. S. Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-2-0011, and by the ARO MAASCOM MURI, grant W911NF-08-1-0238.},
	address = {Denver, Colorado},
	booktitle = {SIAM Conference on Control \& Its Applications (CT09)}
}
@conference {
	title = {Performance Improvements in Distributed Estimation and Fusion Induced by a Trusted Core},
	author = {Somasundaram, Kiran K., Baras, John S.},
	year = {2009},
	month = {07/2009},
	abstract = {We consider distributed state estimation and fusion in autonomic ad-hoc sensor networks when some nodes are untrusted, corrupted or malicious. We provide rigorous graph models to capture both trust and network functionality relations. We propose a novel hierarchical scheme, inspired from socio-cognitive dynamics in economics and sociology, that utilizes a trusted core. We provide a component-based architecture to show the interplay between the trust and estimation schemes. As an explanatory example we consider the problem of distributed Kalman filtering. We show that trust-based schemes, implemented by a trusted core, result in significant improvement in the state estimation procedure. We also find that the interplay between estimation and trust updates quickly isolates malicious nodes and helps the observation limited nodes (corrupted sensor nodes).},
	address = {Seattle, WA},
	booktitle = {12th International Conference on Information Fusion (Fusion 2009)},
	pages = {pp. 1942-1949}
}
@conference {
	title = {Dynamic Distributed Control over Semirings and Applications},
	author = {Baras, John S.},
	year = {2009},
	month = {07/2009},
	abstract = {We demonstrate that many constrained dynamic control problems involving hybrid systems are control problems for dynamical systems over partially ordered semirings. Applications include biological-social-communication networks, collaborative robotics, consensus, flocking, trust, swarms. We next show that when time is discrete and inputs, outputs and states take values in finite sets, these problems are equivalent to constrained shortest path problems. We then develop algorithms, mostly distributed ones, for solving these dynamic constrained shortest path problems over semirings.},
	address = {Denver, Colorado},
	booktitle = {SIAM Conference on Control and its Applications (CT09)}
}
@conference {
	title = {A Composite Trust Model and its Application to Collaborative Distributed Information Fusion},
	author = {Matei, Ion., Baras, John S., Jiang, Tao.},
	year = {2009},
	month = {07/2009},
	abstract = {We consider distributed state estimation of~linear dynamic systems, observed by various sensors, as a problem in information fusion. We introduce a novel model of trust, using weights on the graph links and nodes that represent the sensor network. These weights can represent several interpretations of trustworthiness in sensor networks. We describe three algorithms that integrate distributed Kalman filtering with these trust weights. We consider two interpretations of these trust weights as information accuracy and reliability. We show that by appropriate use of these weights the distributed estimation algorithm avoids using information from untrusted sensors. Simulation experiments further demonstrate the behavior of these algorithms.},
	address = {Seattle, WA},
	booktitle = {12th International Conference on Information Fusion (Fusion 2009)},
	pages = {pp. 1950-1957}
}
