PODS '95 Proceedings of the fourteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Introduction to data compression
Introduction to data compression
Supporting fast search in time series for movement patterns in multiple scales
Proceedings of the seventh international conference on Information and knowledge management
On the hardness of approximating minimization problems
Journal of the ACM (JACM)
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
A coverage-preserving node scheduling scheme for large wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Approximate Queries and Representations for Large Data Sequences
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICNP '02 Proceedings of the 10th IEEE International Conference on Network Protocols
Supporting Content-Based Searches on Time Series via Approximation
SSDBM '00 Proceedings of the 12th International Conference on Scientific and Statistical Database Management
Impact of Network Density on Data Aggregation in Wireless Sensor Networks
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
The impact of spatial correlation on routing with compression in wireless sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Network coverage using low duty-cycled sensors: random & coordinated sleep algorithms
Proceedings of the 3rd international symposium on Information processing in sensor networks
Call and response: experiments in sampling the environment
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
BINOCULAR: a system monitoring framework
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
Snapshot Queries: Towards Data-Centric Sensor Networks
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
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
Proceedings of the 14th ACM international conference on Information and knowledge management
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Fast and quality-guaranteed data streaming in resource-constrained sensor networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
ACM Transactions on Sensor Networks (TOSN)
Quality assurance for data acquisition in error prone WSNs
ICUFN'09 Proceedings of the first international conference on Ubiquitous and future networks
Energy-efficient distributed clustering in wireless sensor networks
Journal of Parallel and Distributed Computing
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
QoS-aware data reporting control in cluster-based wireless sensor networks
Computer Communications
Topology control algorithms for wireless sensor networks: a critical survey
Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
A clustering approximation mechanism based on data spatial correlation in wireless sensor networks
WTS'10 Proceedings of the 9th conference on Wireless telecommunications symposium
Processing continuous top-k data collection queries in lifetime-constrained wireless sensor networks
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
An adaptive and composite spatio-temporal data compression approach for wireless sensor networks
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Energy-aware sparse approximation technique (EAST) for rechargeable wireless sensor networks
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Collaborating with correlation for energy efficient WSN
Proceedings of the first ACM international workshop on Mission-oriented wireless sensor networking
Spatially correlated multi-modal wireless sensor networks: a coalitional game theoretic approach
AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
Packet-level attestation (PLA): A framework for in-network sensor data reliability
ACM Transactions on Sensor Networks (TOSN)
Just send me the summary!: analyzing sensor data for accurate summary reports in indoor environments
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Continuous Location Dependent Queries in Mobile Wireless Sensor Networks
Wireless Personal Communications: An International Journal
Energy efficient data gathering using prediction-based filtering in wireless sensor networks
International Journal of Information and Communication Technology
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Qute: quality-of-monitoring aware sensing and routing strategy in wireless sensor networks
Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing
A framework for processing complex queries in wireless sensor networks
ACM SIGAPP Applied Computing Review
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Limited energy supply is one of the major constraints in wireless sensor networks. A feasible strategy is to aggressively reduce the spatial sampling rate of sensors, that is, the density of the measure points in a field. By properly scheduling, we want to retain the high fidelity of data collection. In this paper, we propose a data collection method that is based on a careful analysis of the surveillance data reported by the sensors. By exploring the spatial correlation of sensing data, we dynamically partition the sensor nodes into clusters so that the sensors in the same cluster have similar surveillance time series. They can share the workload of data collection in the future since their future readings may likely be similar. Furthermore, during a short-time period, a sensor may report similar readings. Such a correlation in the data reported from the same sensor is called temporal correlation, which can be explored to further save energy. We develop a generic framework to address several important technical challenges, including how to partition the sensors into clusters, how to dynamically maintain the clusters in response to environmental changes, how to schedule the sensors in a cluster, how to explore temporal correlation, and how to restore the data in the sink with high fidelity. We conduct an extensive empirical study to test our method using both a real test bed system and a large-scale synthetic data set.