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TRACKING PHENOMENA WITH SENSOR NETWORKS

ANDRA, SHESHU KALYAN Chakravarthy
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1109147670

Abstract Details

2005, MS, University of Cincinnati, Engineering : Computer Science.
The recent emergence of the sensor networks technology is significantly impacting the capabilities for automated distributed monitoring of environments. The large deployments of sensors for fine-grained data gathering makes it practically infeasible to transport all data to a central site for processing. Thus, effective localized communication and computation mechanisms need to be designed. Aggregation trees covering complete terrains have been shown to be an effective way of performing computation and communication in sensor networks. This thesis presents a reactive approach to constructing localized aggregation trees, limited to the regions of activity, wherein the sensors within close proximity that sense some phenomenon construct a local aggregation tree for their localized computational use, send the conclusion to the base station, and then the tree structure may be discarded. Four characteristics of a mobile phenomenon, namely geographical contour, location, velocity and predicted direction, were computed using this tree, which are used for tracking purposes. The working of the algorithms were shown through software simulations and effectiveness of the suggested approach was demonstrated.
Dr. Raj Bhatnagar (Advisor)
82 p.

Recommended Citations

Citations

  • ANDRA, S. K. C. (2005). TRACKING PHENOMENA WITH SENSOR NETWORKS [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1109147670

    APA Style (7th edition)

  • ANDRA, SHESHU KALYAN. TRACKING PHENOMENA WITH SENSOR NETWORKS. 2005. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1109147670.

    MLA Style (8th edition)

  • ANDRA, SHESHU KALYAN. "TRACKING PHENOMENA WITH SENSOR NETWORKS." Master's thesis, University of Cincinnati, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1109147670

    Chicago Manual of Style (17th edition)

ucin1109147670
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© 2005, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.