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SIAM Journal on Computing
The prize collecting Steiner tree problem: theory and practice
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
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Connected sensor cover: self-organization of sensor networks for efficient query execution
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Bounded Geometries, Fractals, and Low-Distortion Embeddings
FOCS '03 Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science
Distributed regression: an efficient framework for modeling sensor network data
Proceedings of the 3rd international symposium on Information processing in sensor networks
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Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Near-optimal sensor placements in Gaussian processes
ICML '05 Proceedings of the 22nd international conference on Machine learning
Statistical model of lossy links in wireless sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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Operations Research Letters
A supervised learning approach for routing optimizations in wireless sensor networks
REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
The design and evaluation of a mobile sensor/actuator network for autonomous animal control
Proceedings of the 6th international conference on Information processing in sensor networks
IEEE Pervasive Computing
Predicting link quality using supervised learning in wireless sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
Exploring in-situ sensing irregularity in wireless sensor networks
Proceedings of the 5th international conference on Embedded networked sensor systems
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Virus coevolution partheno-genetic algorithms for optimal sensor placement
Advanced Engineering Informatics
The Journal of Machine Learning Research
RAID '08 Proceedings of the 11th international symposium on Recent Advances in Intrusion Detection
Decentralized control of adaptive sampling in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Sensor network data fault types
ACM Transactions on Sensor Networks (TOSN)
Statistical methods to estimate vehicle count using traffic cameras
Multidimensional Systems and Signal Processing
Large-scale uncertainty management systems: learning and exploiting your data
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Simultaneous placement and scheduling of sensors
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Near-optimal observation selection using submodular functions
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Efficient informative sensing using multiple robots
Journal of Artificial Intelligence Research
Efficient planning of informative paths for multiple robots
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Nonmyopic adaptive informative path planning for multiple robots
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Energy efficient min-max spatial monitoring with wireless sensor networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Mobile sensor networks for learning anisotropic Gaussian processes
ACC'09 Proceedings of the 2009 conference on American Control Conference
Can you see me now? sensor positioning for automated and persistent surveillance
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
SFO: A Toolbox for Submodular Function Optimization
The Journal of Machine Learning Research
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
Leveraging redundancy in sampling-interpolation applications for sensor networks
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
Practical modeling and prediction of radio coverage of indoor sensor networks
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Distributed faulty sensor detection
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Iterative node deployment in an unknown environment
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
ACM Transactions on Sensor Networks (TOSN)
Coordinated sampling sans origin-destination identifiers: algorithms and analysis
COMSNETS'10 Proceedings of the 2nd international conference on COMmunication systems and NETworks
High quality sensor placement for SHM systems: refocusing on application demands
INFOCOM'10 Proceedings of the 29th conference on Information communications
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INFOCOM'10 Proceedings of the 29th conference on Information communications
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Proceedings of the eleventh ACM international symposium on Mobile ad hoc networking and computing
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International Journal of Sensor Networks
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ACM Transactions on Sensor Networks (TOSN)
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Journal of Signal Processing Systems
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ACM Transactions on Intelligent Systems and Technology (TIST)
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NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part I
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EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
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DCOSS'10 Proceedings of the 6th IEEE international conference on Distributed Computing in Sensor Systems
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Autonomous Agents and Multi-Agent Systems
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ACM Transactions on Sensor Networks (TOSN)
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ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
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Artificial Intelligence
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EWSN'13 Proceedings of the 10th European conference on Wireless Sensor Networks
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Proceedings of the 10th ACM symposium on Performance evaluation of wireless ad hoc, sensor, & ubiquitous networks
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International Journal of Robotics Research
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When monitoring spatial phenomena with wireless sensor networks, selecting the best sensor placements is a fundamental task. Not only should the sensors be informative, but they should also be able to communicate efficiently. In this paper, we present a data-driven approach that addresses the three central aspects of this problem: measuring the predictive quality of a set of sensor locations (regardless of whether sensors were ever placed at these locations), predicting the communication cost involved with these placements, and designing an algorithm with provable quality guarantees that optimizes the NP-hard tradeoff. Specifically, we use data from a pilot deployment to build non-parametric probabilistic models called Gaussian Processes (GPs)both for the spatial phenomena of interest and for the spatial variability of link qualities, which allows us to estimate predictive power and communication cost of unsensed locations. Surprisingly, uncertainty in the representation of link qualities plays an important role in estimating communication costs. Using these models, we present a novel, polynomial-time, data-driven algorithm, pSPIEL, which selects Sensor Placements at Informative and cost-Effective Locations. Our approach exploits two important properties of this problem: submodularity, formalizing the intuition that adding a node to a small deployment can help more than adding a node to a large deployment; and locality, under which nodes that are far from each other provide almost independent information. Exploiting these properties, we prove strong approximation guarantees for our pSPIEL approach. We also provide extensive experimental validation of this practical approach on several real-world placement problems, and built a complete system implementation on 46 Tmote Sky motes, demonstrating significant advantages over existing methods.