Goodput Evaluation of AODV, OLSR and DYMO Protocols for Vehicular Networks Using CAVENET

Spaho, Evjola; Barolli, Leonard; Mino, Gjergji; Xhafa, Fatos; Koliçi, Vladi

doi:10.1109/nbis.2011.27

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…Some of them focus on studying the relationship between vehicles density and routing protocol, while other focus on vehicles' specific parameters like speed and transmission rate. In [4], the authors compare three routing protocols: OLSR, AODV, and DYMO. They find out that AODV performs better that OLSR and DYMO in respect to goodput, while DYMO is better than AODV in respect to delay.…”

Section: Previous Workmentioning

confidence: 99%

Performance Evaluation of OLSR and AODV in VANET Cloud Computing Using Fading Model with SUMO and NS3

Sallam

Mahmoud

2015

2015 International Conference on Cloud Computing (ICCC)

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Vehicular ad-hoc network (VANET) is a new emerging type of mobile ad-hoc network that is characterized by high speed and extreme topology changes over short time. These two characteristics dramatically affect the performance of the routing protocols employed in these networks. The evaluation of different routing protocols for general VANET configuration provides great insight into the performance of the entire network. In this work, we evaluate, analyze, and compare the performances of two prevalent routing protocols: ad-hoc on-demand distance vector (AODV) and optimized link-state routing protocol (OLSR). The evaluation is performed using Network Simulator 3 (NS3) and assumes high mobility and account for signal fading to present worst-case scenarios for the two protocols. We consider the architecture Network-as-a-service of VANET cloud computing. Simulation results indicate that while AODV outperforms OLSR in terms of packet delivery ratio for low transmission rates, statistical analysis shows that there is no significant difference between the performances of the two protocols.

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Section: Previous Workmentioning

confidence: 99%

Performance Evaluation of OLSR and AODV in VANET Cloud Computing Using Fading Model with SUMO and NS3

Sallam

Mahmoud

2015

2015 International Conference on Cloud Computing (ICCC)

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“…In case of AODVv2, there are a bunch of performance evaluations [1], [13], [14], [21], [22]. The first one for example shows that the performance of AODVv2 is not as good as that of AODV.…”

Section: Related Workmentioning

confidence: 99%

Towards a rigorous analysis of AODVv2 (DYMO)

Edenhofer

Höfner

2012

2012 20th IEEE International Conference on Network Protocols (ICNP)

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Dynamic MANET On-demand (AODVv2) routing, formerly known as DYMO, is a routing protocol especially designed for wireless, multi hop networks. AODVv2 determines routes in a network in an on-demand fashion.In this paper we present a formal model of AODVv2, using the process algebra AWN. The benefit of this is two-fold: (a) the given specification is definitely free of ambiguities; (b) a formal and rigorous analysis of the routing protocol is now feasible. To underpin the latter point we also present a first analysis of the AODVv2 routing protocol. On the one hand we show that some of the problems discovered in the AODV routing protocol, the predecessor of AODVv2, have been addressed and solved. On the other hand we show that other limitations still exist; an example is the establishment of non-optimal routes. Even worse, we locate shortcomings in the AODVv2 routing protocol that do not occur in AODV. This yields the conclusion that AODVv2 is not necessarily better than AODV.

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“…As a result, security needs necessitate collaboration and supervision [3]. VANET network provides many applications, the most important of which is to provide safety during travel [4], and there are other applications such as providing restaurant locations, providing traffic information, providing weather information to increase the comfort of passengers, road condition warning, warning against violating traffic lights, pedestrian crossing warnings, intersection collisions, and collision alerts are among the safety applications in VANETs that aim to prevent and reduce the incidence of road accidents [5]. VANET network needs efficient routing protocols for the accurate and timely transfer of data and information, but due to network characteristics, it is not easy to design a protocol that fits all network scenarios.…”

mentioning

confidence: 99%

Improved maximum distance on-demand routing algorithm routing protocol for vehicular ad hoc network network in an urban environment

2022

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Vehicular ad hoc network (VANET) is a modern technology that has received great attention in the modern era due to daily road accidents. In VANET network it is difficult to design effective routing protocols due to the speed of movement of nodes and the rapid change in network architecture, and the purpose of routing protocols in the VANET network is to route data between vehicles (V2V), and between vehicles to infrastructure (V2I). Recently researchers have been interested in designing effective routing protocols for the VANET network because not all existing protocols are suitable for all traffic scenarios. Therefore, the focus of this paper will be on the maximum distance on-demand routing algorithm (MDORA) protocol and work on improving the protocol algorithm so that it is compatible with the urban environment. After that, the improved performance of the MDORA-without direction (MDORA-WD) protocol will be compared with the ad-hoc on-demand distance vector (AODV) protocol in terms of communication overhead, packet delivery ratio (PDR) and end to end (E2E) delay. The protocols will be simulated by MATLAB.

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Goodput Evaluation of AODV, OLSR and DYMO Protocols for Vehicular Networks Using CAVENET

Cited by 7 publications

References 14 publications

Performance Evaluation of OLSR and AODV in VANET Cloud Computing Using Fading Model with SUMO and NS3

Performance Evaluation of OLSR and AODV in VANET Cloud Computing Using Fading Model with SUMO and NS3

Towards a rigorous analysis of AODVv2 (DYMO)

Improved maximum distance on-demand routing algorithm routing protocol for vehicular ad hoc network network in an urban environment

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