VANET Experimental Results on Detecting Traffic Congestion Using SINR and Delay
Author(s) -
Ng Chee Yee,
Joanne Mun-Yee Lim,
Anis Fariza
Publication year - 2016
Publication title -
journal of engineering and technological advances
Language(s) - English
Resource type - Journals
eISSN - 2811-4280
pISSN - 2550-1437
DOI - 10.35934/segi.v1i1.105
Subject(s) - vehicular ad hoc network , computer science , computer network , wireless ad hoc network , transmission (telecommunications) , degradation (telecommunications) , signal to interference plus noise ratio , real time computing , wireless , telecommunications , power (physics) , physics , quantum mechanics
Vehicular ad hoc network (VANET) is a wireless network that is formed by vehicles that are connected to each other through ad hoc formation. Since nodes in VANET are highly mobile moving in unpredictable environments, therefore VANET should be made adaptable. In order to have an adaptable VANET, several parameters such as end to end delay and Signal to Interface Noise Ratio (SINR), are used to detect traffic congestion/ transmission signal degradation. In this paper, several experiments were conducted to test the suitability of SINR and end to end delay in detecting traffic congestion/ transmission signal degradation in VANET. The experiments were conducted in congested, moderate and traffic free conditions in an urban area of Klang, Malaysia. Results showed that under different traffic congestions and transmission environments, SINR and end to end delay showed different readings, which proved the suitability of SINR and end to end delay in detecting traffic congestion and transmission degradation in VANET.
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