In this paper, the problem of collaborative tracking
of mobile nodes in wireless sensor networks is addressed.
Aiming at an efficient resource solution, the research adopts
a strategy of combining target tracking with node selection
procedures in order to select informative sensors to minimize
the energy consumption of the tracking task using the energy
model by Wang, 2001. We layout a cluster-based architecture
to address the limitations in computational, battery power and
communications of the sensor devices. We consider the computation
of the posterior Cramer-Rao bound (PCRB) in the
tracking based on received signal strength measurements. To
track mobile nodes two particle filters are used: the bootstrap
particle filter and the unscented particle filter, both in the
centralized and in the distributed manner. Their performance
are compared with the theoretical lower bound PCRB. To save
energy, a node selection procedure based on greedy algorithms
is proposed. The node selection problem is formulated as a
cross-layer optimization problem and it is solved using greedy
algorithms.
ARIENZO Loredana;
2010-07-06
HINDAWI PUBLISHING CORPORATION
JRC57412
1687-1499,
http://downloads.hindawi.com/journals/wcn/2010/641632.pdf,
https://publications.jrc.ec.europa.eu/repository/handle/JRC57412,
10.1155/2010/641632,
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