Signal Strength Localization Bounds in Ad Hoc and Sensor Networks when Transmit Powers are Random

Author

Patwari, Neal ; Hero, Alfred O., III

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI

fYear

2006

fDate

12-14 July 2006

Firstpage

299

Lastpage

303

Abstract

Sensor localization bounds have been derived assuming that received signal strength (RSS) measurements are performed with perfectly known sensor transmit powers. In this paper the Bayesian Cramer-Rao bound is derived assuming transmit powers are random with known prior distribution. Further, both directional measurements on each link, from i to j and from j to i, and their correlation, are explicitly considered. Results show that random transmit powers have a small (5-13%) impact on coordinate estimation bounds. However, using only the average of the directional measurements can significantly increase these bounds

Keywords

Bayes methods; ad hoc networks; signal processing; wireless sensor networks; Bayesian Cramer-Rao bound; ad hoc networks; coordinate estimation bounds; sensor localization bounds; sensor networks; signal strength localization bounds; transmit powers; Acoustic measurements; Acoustic sensors; Bayesian methods; Computer science; Electric variables measurement; Humans; Intelligent networks; Particle measurements; Performance evaluation; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on

Conference_Location

Waltham, MA

Print_ISBN

1-4244-0308-1

Type

conf

DOI

10.1109/SAM.2006.1706141

Filename

1706141