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DISCOVERY OF LINEAR TRAJECTORIES IN GEOGRAPHICALLY DISTRIBUTED DATASETS

JHAVER, RISHI
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1069437745

Abstract Details

2003, MS, University of Cincinnati, Engineering : Computer Science.
We work with temporal data stored in distributed databases that are spread over a region. We have considered a sensor network where a lot of sensor nodes are spread in a grid like manner. These sensor nodes are capable of storing data and thus act as a separate dataset. The entire network of these sensors act as a set of distributed datasets. An algorithm is introduced that mines global temporal patterns from these datasets and results in the discovery of linear trajectories of moving objects under supervision. Each of these datasets has its local temporal dataset along with spatial data and the geographical coordinates of a given object or target. The main objective here is to perform in-network aggregation between the data contained in the various datasets to discover global spatio-temporal patterns; the main constraint is that there should be minimal communication among the participating nodes. We present the algorithm and analyze it in terms of the communication costs. The cost of our algorithm is much smaller than that of the alternative in which the data must be transferred to a single site and then mined. In addition to this, we vary the requirements of our algorithm slightly and present a variant of it that enhances its performance in terms of the overall complexity of computations. We go on to show that the while the efficiency of the algorithm increases in terms of the number of messages exchanged between nodes, the amount of information available to all the nodes in the system decrease. The advantages and drawbacks of this variant of our algorithm is also presented.
Dr. Raj Bhatnagar (Advisor)
81 p.
Computer Science
distributed data sets; data aggregation; in-network aggregation; temporal databases; sensor data sets

Recommended Citations

Citations

  • JHAVER, R. (2003). DISCOVERY OF LINEAR TRAJECTORIES IN GEOGRAPHICALLY DISTRIBUTED DATASETS [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1069437745

    APA Style (7th edition)

  • JHAVER, RISHI. DISCOVERY OF LINEAR TRAJECTORIES IN GEOGRAPHICALLY DISTRIBUTED DATASETS. 2003. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1069437745.

    MLA Style (8th edition)

  • JHAVER, RISHI. "DISCOVERY OF LINEAR TRAJECTORIES IN GEOGRAPHICALLY DISTRIBUTED DATASETS." Master's thesis, University of Cincinnati, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1069437745

    Chicago Manual of Style (17th edition)

ucin1069437745
639
© 2003, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.