DocumentCode :
3126326
Title :
Operational inferences on VANETs in 802.16e and 802.11p with improved performance by Congestion Alert
Author :
Bhakthavathsalam, R. ; Nayak, Starakjeet
Author_Institution :
Supercomput. Educ. & Res. Center, Indian Inst. of Sci., Bangalore, India
fYear :
2011
fDate :
9-12 Jan. 2011
Firstpage :
467
Lastpage :
471
Abstract :
Mobile WiMAX is a burgeoning network technology with diverse applications, one of them being used for VANETs. The performance metrics such as Mean Throughput and Packet Loss Ratio for the operations of VANETs adopting 802.16e are computed through simulation techniques. Next we evaluated the similar performance of VANETs employing 802.11p, also known as WAVE (Wireless Access in Vehicular Environment). The simulation model proposed is close to reality as we have generated mobility traces for both the cases using a traffic simulator (SUMO), and fed it into network simulator (NS2) based on their operations in a typical urban scenario for VANETs. In sequel, a VANET application called `Street Congestion Alert´ is developed to assess the performances of these two technologies. For this application, TraCI is used for coupling SUMO and NS2 in a feedback loop to set up a realistic simulation scenario. Our inferences show that the Mobile WiMAX performs better than WAVE for larger network sizes.
Keywords :
WiMax; mobility management (mobile radio); radiofrequency interference; telecommunication traffic; vehicular ad hoc networks; wireless LAN; 802.11; 802.16e; NS2; SUMO; VANET; burgeoning network technology; congestion alert; feedback loop; mobile WiMAX; mobility traces; network simulator; operational inferences; packet loss ratio; street congestion alert; traffic simulator; wireless access in vehicular environment; Base stations; Mobile communication; Mobile computing; Throughput; Vehicles; WiMAX; Mean Throughput; Mobile WiMAX (IEEE 802.16e); Packet Loss Ratio; Street Congestion Alert; TraCI; VANET; WAVE (IEEE 802.11p);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2011 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-8789-9
Type :
conf
DOI :
10.1109/CCNC.2011.5766514
Filename :
5766514
Link To Document :
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