DocumentCode :
2821716
Title :
Hop State Prediction Method Using Distance Differential of RSSI on VANET
Author :
Choi, Seong Gon ; Nam, Jong Wook ; Seong Gon Choi
Author_Institution :
Sch. of Electr. & Comput. Eng., Chung Buk Nat. Univ., Cheongju
Volume :
1
fYear :
2008
fDate :
2-4 Sept. 2008
Firstpage :
426
Lastpage :
431
Abstract :
The routing protocol toward the reactive protocol of the vehicular ad hoc networks (VANETs) was very much studied but there is no optimized proactive protocol. The proactive protocol still was unable to accomplish an optimization and the routing protocol optimization at VANET is issued. This proposal predicts whether there is the destruction possibility whether by using the RSSI, it finds out a distance and the velocity (first differential of distance) information and the pertinent node can maintain a link or not or not. By using the distance which this proposal can find with RSSI, it finds a receiving-range. Periodic RSSI is confirmed and the transition speed and acceleration can be known as the first the amount of change of this distance, and the second the amount of change. By using this, the link maintenance or not of a vehicle can be predicted If it predicts that the maintenance of link is difficult, it produces with link and new a link is maintained.
Keywords :
ad hoc networks; routing protocols; traffic engineering computing; vehicles; RSSI; VANET; destruction possibility; distance differential; hop state prediction; link maintenance; optimized proactive protocol; reactive protocol; routing protocol; vehicular ad hoc networks; Ad hoc networks; Communications technology; Mobile ad hoc networks; Mobile communication; Prediction methods; Road safety; Road vehicles; Routing protocols; Spread spectrum communication; Vehicle safety; Differential; Hop; Prediction; RSSI; State; VANET;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
978-0-7695-3322-3
Type :
conf
DOI :
10.1109/NCM.2008.252
Filename :
4624045
Link To Document :
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