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Censoring for Bayesian Cooperative Positioning in Dense Wireless Networks

K. Das ; Henk Wymeersch (Institutionen för signaler och system, Kommunikationssystem)
IEEE Journal on Selected Areas in Communications (0733-8716). Vol. 30 (2012), 9, p. 1835-1842.
[Artikel, refereegranskad vetenskaplig]

Cooperative positioning is a promising solution for location-enabled technologies in GPS-challenged environments. However, it suffers from high computational complexity and increased network traffic, compared to traditional positioning approaches. The computational complexity is related to the number of links considered during information fusion. The network traffic is dependent on how often devices share positional information with neighbors. For practical implementation of cooperative positioning, a low-complexity algorithm with reduced packet broadcasts is thus necessary. Our work is built on the insight that for precise positioning, not all the incoming information from neighboring devices is required, or even useful. We show that blocking selected broadcasts (transmit censoring) and discarding selected incoming information (receive censoring) based on a Cramer-Rao bound criterion, leads to an algorithm with reduced complexity and traffic, without significantly affecting accuracy and latency.

Nyckelord: Indoor positioning, link selection, cooperative positioning, distributed wireless localization, Cramer, sensor networks, localization



Denna post skapades 2012-11-14. Senast ändrad 2016-12-06.
CPL Pubid: 166002

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Kommunikationssystem

Ämnesområden

Telekommunikation

Chalmers infrastruktur

 


Projekt

Denna publikation är ett resultat av följande projekt:


Cooperative Situational Awareness for Wireless Networks (COOPNET) (EC/FP7/258418)

Robust and Fault-Tolerant Cooperative Positioning (VR//2010-5889)