Title : 
Localization algorithms for distributed platform among vehicles
         
        
            Author : 
Tsuchiya, Takeshi ; Yoshinaga, Hiroyuki ; Lihan, Marc ; Koyanagi, K.
         
        
            Author_Institution : 
Res. Center of Inf., Waseda Univ., Fukuoka, Japan
         
        
        
        
        
        
            Abstract : 
There are theoretical and empirical RSS-based algorithms proposed and many studies have been made by comparing the performance of these algorithms. However, there is a lack of theoretical basis and understanding on the orientation of vehicles without GPS. This paper presents a model for an orientation-aware location tracking manner for the detections of vehicles using wireless sensors based on IEEE 802.15.4 standard protocol. For path loss model, our experiment shows a better prediction of RSS when attenuation factors for different orientations are considered in the model. On the other hand, orientation-aware fingerprint algorithm, which currently stands as one of the most accurate RSS-based localization algorithm, is also examined in our experiment to have a basis of comparison with an empirical algorithm.
         
        
            Keywords : 
distributed algorithms; personal area networks; road traffic; wireless sensor networks; IEEE 802.15.4 standard protocol; RSS-based algorithms; distributed algorithm; orientation-aware fingerprint algorithm; orientation-aware location tracking; received signal strength; vehicle localization algorithms; wireless sensors; Fingerprint recognition; Global Positioning System; Navigation; Predictive models; Production systems; Vehicle detection; Wireless LAN; Wireless application protocol; Wireless sensor networks; ZigBee; Localization; ZigBee; path loss; vihicle;
         
        
        
        
            Conference_Titel : 
Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
         
        
            Conference_Location : 
St. Petersburg
         
        
            Print_ISBN : 
978-1-4244-3942-3
         
        
            Electronic_ISBN : 
978-1-4244-3941-6
         
        
        
            DOI : 
10.1109/ICUMT.2009.5345615