Data Quality and Query Cost in Pervasive Sensing Systems

[1]  Philip Levis,et al.  The design and implementation of a declarative sensor network system , 2007, SenSys '07.

[2]  M. Welsh,et al.  The Regiment Macroprogramming System , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[3]  Erich M. Nahum,et al.  Data Quality and Query Cost in Wireless Sensor Networks , 2007, Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07).

[4]  Konstantinos Psounis,et al.  Modeling spatially correlated data in sensor networks , 2006, TOSN.

[5]  Deborah Estrin,et al.  The Tenet architecture for tiered sensor networks , 2006, SenSys '06.

[6]  Archan Misra,et al.  CAPS: energy-efficient processing of continuous aggregate queries in sensor networks , 2006, Fourth Annual IEEE International Conference on Pervasive Computing and Communications (PERCOM'06).

[7]  Y. C. Tay,et al.  Sift: A MAC Protocol for Event-Driven Wireless Sensor Networks , 2006, EWSN.

[8]  David J. Yates,et al.  Scalable data delivery for networked servers and wireless sensor networks , 2006 .

[9]  Ramesh Govindan,et al.  Macro-programming Wireless Sensor Networks Using Kairos , 2005, DCOSS.

[10]  Mung Chiang,et al.  The value of clustering in distributed estimation for sensor networks , 2005, 2005 International Conference on Wireless Networks, Communications and Mobile Computing.

[11]  Wei Hong,et al.  TinyDB: an acquisitional query processing system for sensor networks , 2005, TODS.

[12]  Mohamed A. Sharaf,et al.  Balancing energy efficiency and quality of aggregate data in sensor networks , 2004, The VLDB Journal.

[13]  Wei Hong,et al.  Model-Driven Data Acquisition in Sensor Networks , 2004, VLDB.

[14]  Viktor K. Prasanna,et al.  Energy-latency tradeoffs for data gathering in wireless sensor networks , 2004, IEEE INFOCOM 2004.

[15]  Rajmohan Rajaraman,et al.  The Cougar Project: a work-in-progress report , 2003, SGMD.

[16]  Ramesh Govindan,et al.  Understanding packet delivery performance in dense wireless sensor networks , 2003, SenSys '03.

[17]  Chieh-Yih Wan,et al.  CODA: congestion detection and avoidance in sensor networks , 2003, SenSys '03.

[18]  Srinivasan Seshan,et al.  IrisNet: An Architecture for a Worldwide Sensor Web , 2003, IEEE Pervasive Comput..

[19]  S. Ganeriwal,et al.  Aggregation in sensor networks: an energy-accuracy trade-off , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[20]  Deborah Estrin,et al.  Directed diffusion for wireless sensor networking , 2003, TNET.

[21]  Nael B. Abu-Ghazaleh,et al.  Infrastructure tradeoffs for sensor networks , 2002, WSNA '02.

[22]  Chenyang Lu,et al.  RAP: a real-time communication architecture for large-scale wireless sensor networks , 2002, Proceedings. Eighth IEEE Real-Time and Embedded Technology and Applications Symposium.

[23]  Mani Srivastava,et al.  Energy-aware wireless microsensor networks , 2002, IEEE Signal Process. Mag..

[24]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[25]  Herb Schwetman,et al.  CSIM19: a powerful tool for building system models , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[26]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..

[27]  Herb Schwetman,et al.  Introduction to process-oriented simulation and CSIM , 1990, 1990 Winter Simulation Conference Proceedings.

[28]  Herbert D. Schwetman,et al.  Introduction to process-oriented simulation and CSIM (tutorial session) , 1990, WSC' 90.

[29]  John Scott Bridle,et al.  Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition , 1989, NATO Neurocomputing.