DocumentCode :
1928858
Title :
MixMobGen - A Realistic Mixed Traffic Mobility Generator for ad hoc Network Simulations
Author :
Doci, Arta ; Barolli, Leonard ; Xhafa, Fatos
Author_Institution :
Colorado Sch. of Mines, Golden, CO
fYear :
2009
fDate :
16-19 March 2009
Firstpage :
335
Lastpage :
342
Abstract :
Recently, performance evaluation of ad hoc network protocols is done using realistic mobility and traffic models, thus improving the validity and credibility of wireless simulation studies. In this paper we design and implement MixMobGen, a mobility generator for ad hoc vehicular applications, which takes into account mixed vehicular conditions. This is the first mobility model that takes into account, both, slow and fast vehicles. While speed for highway traffic has been modeled following a normal distribution, two studies on the mixed traffic show that speed follows a multimodal or bimodal distribution, instead. In this paper we a) design and implement MixMobGen, a realistic mobility generator that models mixed traffic conditions. b) evaluate protocol performance in 802.11 network protocols using NS 2 simulator.
Keywords :
ad hoc networks; mobility management (mobile radio); performance evaluation; protocols; traffic engineering computing; wireless LAN; 802.11 network protocols; MixMobGen; NS 2 simulator; ad hoc network protocols; ad hoc network simulations; ad hoc vehicular applications; bimodal distribution; highway traffic; mixed traffic mobility generator; multimodal distribution; normal distribution; performance evaluation; Ad hoc networks; Databases; Gaussian distribution; Intelligent networks; Road transportation; Telecommunication traffic; Traffic control; Vehicle dynamics; Wireless application protocol; Wireless networks; Ad Hoc Networks; Mixed Traffic Mobility; Performance Evaluations; Real Mobility Models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09. International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4244-3569-2
Electronic_ISBN :
978-0-7695-3575-3
Type :
conf
DOI :
10.1109/CISIS.2009.157
Filename :
5066806
Link To Document :
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