Communications of the ACM
Region streams: functional macroprogramming for sensor networks
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Spray computers: Explorations in self-organization
Pervasive and Mobile Computing
Simultaneous localization, calibration, and tracking in an ad hoc sensor network
Proceedings of the 5th international conference on Information processing in sensor networks
Middleware: Middleware Challenges and Approaches for Wireless Sensor Networks
IEEE Distributed Systems Online
Infrastructure for Engineered Emergence on Sensor/Actuator Networks
IEEE Intelligent Systems
A robust architecture for distributed inference in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Learning and inferring transportation routines
Artificial Intelligence
Programming sensor networks using abstract regions
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
PERCOM '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications
Continuous Space-Time Semantics Allow Adaptive Program Execution
SASO '07 Proceedings of the First International Conference on Self-Adaptive and Self-Organizing Systems
Context-Aware Migratory Services in Ad Hoc Networks
IEEE Transactions on Mobile Computing
Distributed Self-Reconfiguration of M-TRAN III Modular Robotic System
International Journal of Robotics Research
Three-Dimensional Construction with Mobile Robots and Modular Blocks
International Journal of Robotics Research
A theory of local-to-global algorithms for one-dimensional spatial multi-agent systems
A theory of local-to-global algorithms for one-dimensional spatial multi-agent systems
Extracting high-level information from location data: the W4 diary example
Mobile Networks and Applications
Aspects of Distance Sensitive Design of Wireless Sensor Networks
SASOW '08 Proceedings of the 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Programming pervasive and mobile computing applications: The TOTA approach
ACM Transactions on Software Engineering and Methodology (TOSEM)
Self-adapting modular robotics: a generalized distributed consensus framework
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
On the efficiency of local and global communication in modular robots
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Loopy belief propagation as a basis for communication in sensor networks
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Decentralized sensor fusion with distributed particle filters
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
A comparison of HMMs and dynamic bayesian networks for recognizing office activities
UM'05 Proceedings of the 10th international conference on User Modeling
Probabilistic analysis of a large-scale urban traffic sensor data set
Sensor-KDD'08 Proceedings of the Second international conference on Knowledge Discovery from Sensor Data
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Macro programming a spatial computer is the ability to specify application tasks at a global level while relying on compiler-like software to translate the global tasks into the individual component activities. Bayesian networks can be regarded as a powerful tool for macro programming a spatial computer, such as a dense sensor network, in a variety of data analysis applications. In this article we present our architecture to program a spatial computer by means of a distributed Bayesian network and present some applications we developed over a sensor network testing both inference and anomaly-detection analysis.