Polygonal approximation of 2-D shape through boundary merging
Pattern Recognition Letters
Polygonal approximation by boundary reduction
Pattern Recognition Letters
Computer Vision
Issues in data stream management
ACM SIGMOD Record
A Survey of Polygonal Simplification Algorithms
A Survey of Polygonal Simplification Algorithms
Online Amnesic Approximation of Streaming Time Series
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Spatio-temporal data reduction with deterministic error bounds
The VLDB Journal — The International Journal on Very Large Data Bases
MobiEyes: A Distributed Location Monitoring Service Using Moving Location Queries
IEEE Transactions on Mobile Computing
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
Preprocessing Position Data of Mobile Objects
MDM '08 Proceedings of the The Ninth International Conference on Mobile Data Management
Online trajectory data reduction using connection-preserving dead reckoning
Proceedings of the 5th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services
NexusDS: a flexible and extensible middleware for distributed stream processing
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Nonmaterialized motion information in transport networks
ICDT'05 Proceedings of the 10th international conference on Database Theory
Data-driven trajectory smoothing
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
The single pixel GPS: learning big data signals from tiny coresets
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Encoding network-constrained travel trajectories using routing algorithms
International Journal of Knowledge and Web Intelligence
Effectively grouping trajectory streams
NFMCP'12 Proceedings of the First international conference on New Frontiers in Mining Complex Patterns
Mobile Networks and Applications
Dealing with trajectory streams by clustering and mathematical transforms
Journal of Intelligent Information Systems
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With the increasing use of sensor technology, the compression of sensor data streams is getting more and more important to reduce both the costs of further processing as well as the data volume for persistent storage. A popular method for sensor data compression is to smooth the original measurement curve by an approximated curve, which is bounded by a given maximum error value. Measurement values from positioning systems like GPS are an interesting special case, because they consist of two spatial and one temporal dimension. Therefore various standard techniques for approximation calculations like regression or line simplification algorithms cannot be directly applied. In this paper, we portray our stream data management system NexusDS and an operator for compressing sensor data. For the operator, we implemented various compression algorithms for position data streams. We present the required adaptations and the different characteristics of the compression algorithms as well as the results of our evaluation experiments, and compare them with a map matching approach, specifically developed for position data.