Bandwidth Scaling for Efficient Inference Over a Power-Limited MAC

Author

Marano, Stefano ; Matta, Vincenzo ; Lang Tong ; Willett, P.

Author_Institution

DIIIE, Salerno Univ., Fisciano, Italy

Volume

3

fYear

2007

Abstract

We introduce a likelihood based multiple access (LBMA) communication/estimation scheme for nonrandom parameter estimation in wireless sensor networks with additive multiple access channels. Constraining the system in terms of energy and allowing the available number of degrees of freedom to scale as n^α, 0.5 <; α <; 1, we prove that LBMA is asymptotically efficient. Thus, the new scheme is appropriate for large networks. LBMA is, in addition, simple to implement and relies upon an intuitive approach.

Keywords

access protocols; multi-access systems; wireless channels; wireless sensor networks; additive multiple access channels; bandwidth scaling; efficient inference; likelihood based multiple access; nonrandom parameter estimation; power-limited MAC; wireless sensor networks; Bandwidth; Collaborative work; Information filtering; Information filters; Laboratories; Maximum likelihood estimation; Parameter estimation; Process design; Quantization; Wireless sensor networks; Multiple access; Multiterminal inference; TBMA; Wireless Sensor Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.366750

Filename

4217780