TY - JOUR
T1 - Joint dimension assignment and compression for distributed multisensor estimation
AU - Fang, Jun
AU - Li, Hongbin
PY - 2008
Y1 - 2008
N2 - We consider distributed estimation of a random vector parameter by a wireless sensor network (WSN). To meet stringent power and bandwidth budgets in WSN, local data compression is performed at each sensor to reduce the number of messages sent to a fusion center (FC). Under the constraint of a given total number of messages, our problem is to jointly determine the number of messages sent by each senor (a.k.a. dimension assignment) and design the corresponding compression matrix. The problem is formulated as a constrained optimization problem that minimizes the estimation mean-square error (MSE) at the FC. We analyze the problem using a subspace projection technique, which yields an efficient iterative solution. Numerical results are presented to illustrate the effectiveness of the proposed algorithm.
AB - We consider distributed estimation of a random vector parameter by a wireless sensor network (WSN). To meet stringent power and bandwidth budgets in WSN, local data compression is performed at each sensor to reduce the number of messages sent to a fusion center (FC). Under the constraint of a given total number of messages, our problem is to jointly determine the number of messages sent by each senor (a.k.a. dimension assignment) and design the corresponding compression matrix. The problem is formulated as a constrained optimization problem that minimizes the estimation mean-square error (MSE) at the FC. We analyze the problem using a subspace projection technique, which yields an efficient iterative solution. Numerical results are presented to illustrate the effectiveness of the proposed algorithm.
KW - Distributed estimation
KW - Joint dimension assignment and compression
KW - Wireless sensor network (WSN)
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U2 - 10.1109/LSP.2007.913586
DO - 10.1109/LSP.2007.913586
M3 - Article
AN - SCOPUS:51849086935
SN - 1070-9908
VL - 15
SP - 174
EP - 177
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
ER -