Tracking mobile targets using wireless sensor networks

Goutham Mallapragada, Yicheng Wen, Shashi Phoha, Doina Bein, Asok Ray

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mobile target tracking needs a sensor network able to autonomously adapt to the requirements of the data fusion algorithms. We propose a design architecture for a tracking algorithm in which the sensed data is processed in an abstract space called Information Space and the communication between nodes is modeled as an abstract space called Network Design Space. The two abstract spaces are connected through an interaction interface called InfoNet, that seamlessly translates the messages between the two. The proposed architecture is evaluated using simulations in NS2. The sensory data is collected from a laboratory testbed where a mobile robot (a Segway) moves along various types of trajectories over a pressure sensor network.

Original languageEnglish (US)
Title of host publicationITNG2010 - 7th International Conference on Information Technology
Subtitle of host publicationNew Generations
Pages873-878
Number of pages6
DOIs
Publication statusPublished - Aug 11 2010
Event7th International Conference on Information Technology - New Generations, ITNG 2010 - Las Vegas, NV, United States
Duration: Apr 12 2010Apr 14 2010

Publication series

NameITNG2010 - 7th International Conference on Information Technology: New Generations

Other

Other7th International Conference on Information Technology - New Generations, ITNG 2010
CountryUnited States
CityLas Vegas, NV
Period4/12/104/14/10

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Cite this

Mallapragada, G., Wen, Y., Phoha, S., Bein, D., & Ray, A. (2010). Tracking mobile targets using wireless sensor networks. In ITNG2010 - 7th International Conference on Information Technology: New Generations (pp. 873-878). [5501525] (ITNG2010 - 7th International Conference on Information Technology: New Generations). https://doi.org/10.1109/ITNG.2010.30