Direction of estimation approach for collaborative localization in wireless sensor networks

Author

Alhasanat, A.I. ; Sharif, B.S. ; Tsimenidis, C.C. ; Boussakta, S.

Author_Institution

Sch. of Electr., Electron. & Comput. Eng., Newcastle Univ., Newcastle upon Tyne, UK

fYear

2009

fDate

14-17 Dec. 2009

Firstpage

513

Lastpage

518

Abstract

In this paper, a collaborative localization technique based on the direction of estimation (DoE) is proposed. Two directions, border-to-centre B-C and centre-to-border C-B, are investigated and their location accuracies are evaluated. The results show that the B-C method approach outperforms the C-B method based on the root-mean square error (RMSE) and Cramer-Rao bound (CRB). The new B-C DoE method is demonstrated using different deployment strategies and node densities. The simulation results show that the B-C DoE algorithm decreases the accumulated errors of location estimation approximately by 12% over conventional collaborative algorithms; in addition its performance is clearly superior to the performance of other DoE methods.

Keywords

direction-of-arrival estimation; mean square error methods; sensor placement; wireless sensor networks; Cramer-Rao bound; border-to-centre method; centre-to-border method; collaborative localization; direction of estimation; estimation approach; root-mean square error; wireless sensor networks; Collaboration; Estimation error; Global Positioning System; Hardware; Iterative algorithms; Large-scale systems; Maximum likelihood estimation; Radio frequency; Radiofrequency integrated circuits; Wireless sensor networks; Cramér-Rao Bound; Direction of Estimation; Error Accumulation; Localization System; Received Signal Strength; Sensor Deployment;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology (ISSPIT), 2009 IEEE International Symposium on

Conference_Location

Ajman

Print_ISBN

978-1-4244-5949-0

Type

conf

DOI

10.1109/ISSPIT.2009.5407564

Filename

5407564