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Artificial Intelligence
Information-based objective functions for active data selection
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Neural Network Exploration Using Optional Experiment Design
EmStar: a software environment for developing and deploying wireless sensor networks
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Estimating inhomogeneous fields using wireless sensor networks
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Proceedings of the 3rd international conference on Embedded networked sensor systems
IrisNet: an internet-scale architecture for multimedia sensors
Proceedings of the 13th annual ACM international conference on Multimedia
Active learning for adaptive mobile sensing networks
Proceedings of the 5th international conference on Information processing in sensor networks
Analytic modeling of detection latency in mobile sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
The low power energy aware processing (LEAP)embedded networked sensor system
Proceedings of the 5th international conference on Information processing in sensor networks
Networked infomechanical systems: a mobile embedded networked sensor platform
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Robomote: enabling mobility in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
On the Effects of Consistency in Data Operations in Wireless Sensor Networks
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
Stochastic event capture using mobile sensors subject to a quality metric
Proceedings of the 12th annual international conference on Mobile computing and networking
Computer Supported Cooperative Work
Proceedings of the 4th international conference on Embedded networked sensor systems
Mobile Element Scheduling with Dynamic Deadlines
IEEE Transactions on Mobile Computing
IEEE Transactions on Parallel and Distributed Systems
ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Exploring in-situ sensing irregularity in wireless sensor networks
Proceedings of the 5th international conference on Embedded networked sensor systems
Programming models for sensor networks: A survey
ACM Transactions on Sensor Networks (TOSN)
WEAR: a balanced, fault-tolerant, energy-aware routing protocol in WSNs
International Journal of Sensor Networks
Rendezvous design algorithms for wireless sensor networks with a mobile base station
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Information-theoretic integration of sensing and communication for active robot networks
Proceedings of the 1st international conference on Robot communication and coordination
Consistency-driven data quality management of networked sensor systems
Journal of Parallel and Distributed Computing
An Information Theoretic Framework for Field Monitoring Using Autonomously Mobile Sensors
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
Design, implementation, and evaluation of EnviroMic: A storage-centric audio sensor network
ACM Transactions on Sensor Networks (TOSN)
Efficient informative sensing using multiple robots
Journal of Artificial Intelligence Research
Field-tests of a redundantly actuated cable-driven robotfor environmental sampling applications
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Toward model free atmospheric sensing by aerial robot networks in strong wind fields
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Information-Theoretic Integration of Sensing and Communication for Active Robot Networks
Mobile Networks and Applications
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
Energy optimization in wireless medical systems using physiological behavior
WH '10 Wireless Health 2010
Energy efficient E-textile based portable keyboard
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
Analysis of target detection performance for wireless sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
Coordinated static and mobile sensing for environmental monitoring
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
DCOSS'10 Proceedings of the 6th IEEE international conference on Distributed Computing in Sensor Systems
SAMOS'06 Proceedings of the 6th international conference on Embedded Computer Systems: architectures, Modeling, and Simulation
Energy-Efficient Sensing with the Low Power, Energy Aware Processing (LEAP) Architecture
ACM Transactions on Embedded Computing Systems (TECS)
Behavior-oriented data resource management in medical sensing systems
ACM Transactions on Sensor Networks (TOSN)
Proceedings of the Conference on Design, Automation and Test in Europe
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Monitoring of environmental phenomena with embedded networked sensing confronts the challenges of both unpredictable variability in the spatial distribution of phenomena, coupled with demands for a high spatial sampling rate in three dimensions. For example, low distortion mapping of critical solar radiation properties in forest environments may require two-dimensional spatial sampling rates of greater than 10 samples/m2 over transects exceeding 1000 m2. Clearly, adequate sampling coverage of such a transect requires an impractically large number of sensing nodes. This paper describes a new approach where the deployment of a combination of autonomous-articulated and static sensor nodes enables sufficient spatiotemporal sampling densityo ver large transects to meet a general set of environmental mapping demands. To achieve this we have developed an embedded networked sensor architecture that merges sensing and articulation with adaptive algorithms that are responsive to both variabilityin environmental phenomena discovered bythe mobile sensors and to discrete events discovered byst atic sensors. We begin byde scribing the class of important driving applications, the statistical foundations for this new approach, and task allocation. We then describe our experimental implementation of adaptive, event aware, exploration algorithms, which exploit our wireless, articulated sensors operating with deterministic motion over large areas. Results of experimental measurements and the relationship among sampling methods, event arrival rate, and sampling performance are presented.