Optimizing object queries using an effective calculus
ACM Transactions on Database Systems (TODS)
The cougar approach to in-network query processing in sensor networks
ACM SIGMOD Record
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
WaveScheduling: energy-efficient data dissemination for sensor networks
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
A framework for extending the synergy between MAC layer and query optimization in sensor networks
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
The CQL continuous query language: semantic foundations and query execution
The VLDB Journal — The International Journal on Very Large Data Bases
Online outlier detection in sensor data using non-parametric models
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Foundations and Trends in Databases
A Semantics for a Query Language over Sensors, Streams and Relations
BNCOD '08 Proceedings of the 25th British national conference on Databases: Sharing Data, Information and Knowledge
An Architecture for Query Optimization in Sensor Networks
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Comprehensive Optimization of Declarative Sensor Network Queries
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Validated cost models for sensor network queries
Proceedings of the Sixth International Workshop on Data Management for Sensor Networks
Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
Adaptive and decentralized operator placement for in-network query processing
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
A Distributed Technique for Dynamic Operator Placement in Wireless Sensor Networks
MDM '10 Proceedings of the 2010 Eleventh International Conference on Mobile Data Management
Minimum-hot-spot query trees for wireless sensor networks
Proceedings of the Ninth ACM International Workshop on Data Engineering for Wireless and Mobile Access
Optimizing Query Routing Trees in Wireless Sensor Networks
ICTAI '10 Proceedings of the 2010 22nd IEEE International Conference on Tools with Artificial Intelligence - Volume 02
SNEE: a query processor for wireless sensor networks
Distributed and Parallel Databases
Distributed and Parallel Databases
SMM: A data stream management system for knowledge discovery
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
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Sensor networks have become ubiquitous and their proliferation in day-to-day life provides new research challenges. Sensors deployed at forest sites, high performance facilities, or areas striken by environmental, or other, phenomena, are only a few representative examples. More recently, mobile sensor networks have made their presence and are rapidly growing in numbers, such as the successful ZebraNet project or PDAs and smartphones. Nevertheless, such networks have mainly been used for data acquisition and data are being processed externally instead of in-network. Basic research problems that arise in the in-network setting include how to adjust in a timely and efficient manner to changing conditions and network topology. In this paper, we present a methodology, based on declarative query processing to alleviate the aforementioned problems, by making the deployment and optimization of a data analysis application as automatic as possible, which also helps execution in mobile environments. Our proposed solution focuses on extending a state-of-the-art sensor network platform, SNEE, with builtin data analysis capabilities.