Aggregation and compression of distributed binary decisions in a wireless sensor network

Author

Gubner, John A. ; Chong, Edwin K P ; Scharf, Louis L.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Wisconsin-Madison, Madison, WI, USA

fYear

2009

fDate

15-18 Dec. 2009

Firstpage

909

Lastpage

913

Abstract

An aggregation and compression architecture for wireless sensor networks without a fusion center is proposed. In this architecture, sensors are grouped into pairs whose local binary decisions are combined to form half as many new one-bit decisions. The new decisions are paired and combined until a single one-bit global decision is reached. A simple recursive algorithm is presented and proved to find the minimum size of the network required to achieve a given global error probability.

Keywords

binary decision diagrams; error statistics; recursive estimation; sensor fusion; telecommunication control; wireless sensor networks; compression architecture; distributed binary decisions; fusion center; global error probability; recursive algorithm; single one-bit global decision; wireless sensor network; Batteries; Context; Energy consumption; Equations; Error probability; Fusion power generation; Light rail systems; Sensor systems; Testing; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Conference_Location

Shanghai

ISSN

0191-2216

Print_ISBN

978-1-4244-3871-6

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2009.5400145

Filename

5400145