A Sensor Network Data Aggregation Technique

—Existing sensor network data aggregation techniques assume that the nodes are preprogrammed and send data to a central sink for offline querying and analysis. This approach faces two major drawbacks. First, the system behavior is preprogrammed and cannot be modified on the fly. Second, the increased energy wastage due to the communication overhead will result in decreasing the overall system lifetime. Thus, energy conservation is of prime consideration in sensor network protocols in order to maximize the network's operational lifetime. In this paper, we give an energy efficient approach to query processing by implementing new optimization techniques applied to in-network aggregation. We first discuss earlier approaches in sensors data management and highlight their disadvantages. We then present our approach and evaluate it through several simulations to prove its efficiency, competence and effectiveness.

[1]  Jerry Zhao,et al.  Habitat monitoring: application driver for wireless communications technology , 2001, CCRV.

[2]  David E. Culler,et al.  System architecture directions for networked sensors , 2000, SIGP.

[3]  David E. Culler,et al.  Supporting aggregate queries over ad-hoc wireless sensor networks , 2002, Proceedings Fourth IEEE Workshop on Mobile Computing Systems and Applications.

[4]  Wei Hong,et al.  Proceedings of the 5th Symposium on Operating Systems Design and Implementation Tag: a Tiny Aggregation Service for Ad-hoc Sensor Networks , 2022 .

[5]  Wei Hong,et al.  The design of an acquisitional query processor for sensor networks , 2003, SIGMOD '03.

[6]  Phillip B. Gibbons,et al.  Approximate Query Processing: Taming the TeraBytes! A Tutorial , 2001 .

[7]  V. Hatzimanikatis,et al.  Manipulating redox and ATP balancing for improved production of succinate in E. coli. , 2011, Metabolic engineering.

[8]  Minos N. Garofalakis,et al.  Approximate Query Processing: Taming the TeraBytes , 2001, VLDB.

[9]  Michael Stonebraker,et al.  The POSTGRES next generation database management system , 1991, CACM.

[10]  Gregory J. Pottie,et al.  Wireless integrated network sensors , 2000, Commun. ACM.

[11]  Donald Kossmann,et al.  The state of the art in distributed query processing , 2000, CSUR.

[12]  Per-Åke Larson,et al.  Eager Aggregation and Lazy Aggregation , 1995, VLDB.

[13]  Samuel Madden,et al.  Fjording the stream: an architecture for queries over streaming sensor data , 2002, Proceedings 18th International Conference on Data Engineering.

[14]  Kazuyuki Shimizu,et al.  Effect of a single-gene knockout on the metabolic regulation in Escherichia coli for D-lactate production under microaerobic condition. , 2005, Metabolic engineering.

[15]  Jeffrey F. Naughton,et al.  Adaptive parallel aggregation algorithms , 1995, SIGMOD '95.

[16]  D. Clark,et al.  The fermentation pathways of Escherichia coli. , 1989, FEMS microbiology reviews.

[17]  Helen J. Wang,et al.  Online aggregation , 1997, SIGMOD '97.

[18]  Niki Trigoni Energy−Efficient Data Management for Sensor Networks: A Work−In−Progress Report , 2003 .

[19]  Deborah Estrin,et al.  Building efficient wireless sensor networks with low-level naming , 2001, SOSP.

[20]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[21]  A. Prasad Sistla,et al.  DOMINO: databases fOr MovINg Objects tracking , 1999, SIGMOD '99.

[22]  Yong Yao,et al.  The cougar approach to in-network query processing in sensor networks , 2002, SGMD.

[23]  Per-Åke Larson,et al.  Data reduction by partial preaggregation , 2002, Proceedings 18th International Conference on Data Engineering.

[24]  K. Shimizu,et al.  The effect of pfl gene knockout on the metabolism for optically pure d-lactate production by Escherichia coli , 2004, Applied Microbiology and Biotechnology.

[25]  Deborah Estrin,et al.  Impact of network density on data aggregation in wireless sensor networks , 2002, Proceedings 22nd International Conference on Distributed Computing Systems.

[26]  Philippe Bonnet,et al.  Towards Sensor Database Systems , 2001, Mobile Data Management.

[27]  Johannes Gehrke,et al.  Query Processing in Sensor Networks , 2003, CIDR.

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

[29]  Deborah Estrin,et al.  Embedding the Internet , 2000 .

[30]  K. Shanmugam,et al.  Production of Optically Pure d-Lactic Acid in Mineral Salts Medium by Metabolically Engineered Escherichia coli W3110 , 2003, Applied and Environmental Microbiology.