The sensor network paradigm uses multiple autonomous sensor nodes to cooperatively construct an ad hoc computational entity. The authors have implemented applications using this approach with a network of sensor prototypes. In the paper, entity tracking is described as a two-tier process: (i) clusters of nodes locally estimate parameters used in entity tracking (i.e. time, class, position, and heading), and (ii) local parameter association forms inter-cluster tracks. Ad hoc routing primitives are used. This supports self-organization at all levels. Derivations of entity tracking applications are given along with preliminary results.
Blackman, S.S. and Broida, T.J., 1990. Multiple sensor data association and fusion in aerospace applications. Journal of Robotic Systems, 7(3): 445-485.
2.
Brooks, R.R., Grele, E., Kliemkiwicz, W., Moore, J., Griffin, C., Kovak, B., and Koch, J., 2000. Reactive sensor networks: Mobile code support for autonomous sensor networks. Distributed Autonomous Robotic Systems DARS 2000. Tokyo: Springer Verlag, pp. 471-472.
3.
Brooks, R.R. and Griffin, C.H., 2002. Traffic model evaluation of ad hoc entity tracking algorithms . International Journal of High Performance Computing Applications , 16(3): 221-234.
4.
Brooks, R.R. and Iyengar, S.S., 1998. Multi-Sensor Fusion: Fundamentals and Applications with Software. Upper Saddle River, NJ: Prentice Hall.
5.
Brueckner, S., 2000. Return From the Ant: Synthetic Ecosystems for Manufacturing Control. Dr. rer. Nat. Dissertation, Fach Informartik, Humboldt-Universitaet zuBerlin.
6.
Friedlander, D.S. and Phoha, S., 2002. Semantic information fusion for coordinated signal processing in mobile sensor networks. International Journal of High Performance Computing Applications, 16(3): 235-241.
7.
Intanagonwiwat, Govindan, and Estrin, 2000 . Directed diffusion: A scalable and robust communication paradigm for sensor networks. In Mobicom2000 , Boston, MA, August pp. 56-67.
8.
Pearl, J., 1986. Fusion, propagation, and structuring in belief networks . Artificial Intelligence, 29, 241-288.
9.
USC/ISI, Xerox PARC, LBNL , and UCB, 1997Virtual Internet Testbed, [online] http://www.isi.edu/nsnam/vint/ .
