Indoor ranging and localisation algorithm based on received signal strength indicator using statistic parameters for wireless sensor networks

Author:

Pagano Saverio1,Peirani Simone1,Valle Maurizio1

Affiliation:

1. Department of Naval, Electrical, Electronic and Telecommunications EngineeringUniversity of GenoaVia Opera Pia 11AGenoa16145Italy

Publisher

Institution of Engineering and Technology (IET)

Subject

Industrial and Manufacturing Engineering

Reference32 articles.

1. Sensor selection for improving accuracy of target localization in wireless visual sensor networks;Li W.;IET Wirel. Sensor Syst.,2012

2. Adaptive sampling for energy-efficient collaborative multi-target tracking in wireless sensor networks

3. DenisT.WeynM.WilliameK. andSchrooyenF.: ‘Real time location using WiFi’ May 31 2006

4. DecuirJ.: Standards Architect CSR plc; IEEE Region 6 NW Area chair.: ‘Bluetooth 4.0: Low Energy’ 2010

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