DocumentCode :
593190
Title :
Fuzzy-based target tracking on “Vehicular Grid Sensor Networks”
Author :
Yih-Fuh Wang ; Chang-Ting Wu
Author_Institution :
Comput. Sci. & Inf. Eng., Nat. Penghu Univ. of Sci. & Technol., Penghu, Taiwan
fYear :
2012
fDate :
14-16 Aug. 2012
Firstpage :
129
Lastpage :
132
Abstract :
In Vehicular Grid Sensor Network (VGSN), because the operation of individual vehicles and mobile speed and direction, contact between them fragile and unstable. It has multicast links suddenly fail to overcome the problems, so that the message flows to each node, and increase the volume of traffic control. In this paper, we propose a fuzzy-based target tracking scheme that will re-route the link path when the link becomes weak so as to maintain the vehicle-to-vehicle connections to make the whole VSN more stable. In addition, due to the arbitrary speeds of vehicles, the sensors installed in different vehicles may have different reaction times. We also take into account a suitable alarm range as the moving speed changes, although this action increases the control overhead. Despite this reduction in average latency, this intelligent approach enables higher survivability and more effective on re-routing.
Keywords :
alarm systems; automobiles; fuzzy control; fuzzy set theory; multicast communication; road traffic control; stability; target tracking; telecommunication network routing; wireless sensor networks; VGSN stability; alarm range; average latency reduction; control overhead; fuzzy-based target tracking; intelligent approach; message flows; mobile vehicle direction; mobile vehicle speed; multicast link path rerouting; reaction times; sensor installation; traffic control volume; vehicle-to-vehicle connections; vehicular grid sensor network node; Computational modeling; Delay; Equations; Fuzzy logic; Mathematical model; Target tracking; Vehicles; Fuzzy Logic; Grid Network; Target Tracking; Vehicular Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Security and Intelligence Control (ISIC), 2012 International Conference on
Conference_Location :
Yunlin
Print_ISBN :
978-1-4673-2587-5
Type :
conf
DOI :
10.1109/ISIC.2012.6449724
Filename :
6449724
Link To Document :
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