Autonomy and Software Technology on NASA's Deep Space One
IEEE Intelligent Systems
Towards Sensor Database Systems
MDM '01 Proceedings of the Second International Conference on Mobile Data Management
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Constraint-Based Attribute and Interval Planning
Constraints
The dynamic behavior of a data dissemination protocol for network programming at scale
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
BBQ: group-based querying in a ubiquitous environment
Proceedings of the 2006 ACM symposium on Applied computing
MauveDB: supporting model-based user views in database systems
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
The Tenet architecture for tiered sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
MAPGEN: Mixed-Initiative Planning and Scheduling for the Mars Exploration Rover Mission
IEEE Intelligent Systems
Accurate, fast fall detection using posture and context information
Proceedings of the 6th ACM conference on Embedded network sensor systems
Mote-Based Online Anomaly Detection Using Echo State Networks
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
PRESTO: feedback-driven data management in sensor networks
IEEE/ACM Transactions on Networking (TON)
Managing decision resources in plan execution
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
A utility-based adaptive sensing and multihop communication protocol for wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
MiniZinc: towards a standard CP modelling language
CP'07 Proceedings of the 13th international conference on Principles and practice of constraint programming
Monitoring in a High-Arctic Environment: Some Lessons from MANA
IEEE Pervasive Computing
Optimizing in-network aggregate queries in wireless sensor networks for energy saving
Data & Knowledge Engineering
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Ecologists instrument ecosystems to collect time series representing the evolution in time and space of relevant abiotic and biotic factors. Sensor networks promise to improve on existing data acquisition systems by interconnecting stand-alone measurement systems into virtual instruments. Such ecological sensor networks, however, will only fulfill their potential if they meet the scientists requirements. In an ideal world, an ecologist expresses requirements in terms of a target dataset, which the sensor network then actually collects and stores. In fact, failures occur and interesting events happen, making uniform systematic ecosystem sampling neither possible nor desirable. Today, these anomalous situations are handled as exceptions treated by technicians that receive an alert at deployment time. In this paper, we detail how ecological sensor networks can maximize the utility of the collected datasets in a changing environment. More specifically, we present the design of a controller that continuously maintains its state based on the data obtained from the sensor network (as well as external systems), and configures motes with parameters that satisfy a constraint optimization problem derived from the current state, the system requirements, and the scientist requirements. We describe our implementation, discuss its scalability, and discuss its performance in the context of two case studies.