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
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