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Proceedings ArticleDOI

Analysis of DSDV, OLSR and AODV Routing Protocols in VANETS Scenario: Using NS3

01 Dec 2015-pp 85-89

TL;DR: NS-3 is used to implement AODV, OLSR and DSDV routing on V- to-V, I-to-I and V-To-I nodes to compare these routing protocols and simulation results show that O LSR is the most optimum technique amongst A ODV, D SDV and OLSS for this model.
Abstract: VANET's is an emerging field in communication networks and has become a promising tool to provide safety and connectivity for an intelligent transport system. Choosing appropriate routing protocols is necessary for smooth communication. In this paper we use NS-3 to implement AODV, OLSR and DSDV routing on V-to-V, I-to-I and V-to-I nodes. Then we employ Qos (Quality of service) parameters like throughput, PLR (packet loss ratio) and packet overhead, as evaluation parameters to compare these routing protocols. We use IEEE 802.11p [2] and Nakagami-n fast fading propagation loss model for the simulations. The simulation results show that OLSR is the most optimum technique amongst AODV, DSDV and OLSR for our model.
Citations
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Proceedings ArticleDOI
01 Oct 2018-
TL;DR: This work investigates on how three state-of-the-art Mobile Ad-Hoc Network (MANET) routing protocols behave over the IEEE 802.11p/WAVE stack, and shows that the DSDV and OLSR protocols have a better performance than AODV, for low-density and low-speed scenarios.
Abstract: Vehicle-to-Vehicle (V2V), Vehicle-to-Road Infrastructure (V2R) and Vehicle-to-Pedestrian (V2P) communications are paramount for paving the way for smarter, cleaner and safer cities and roads. We investigate on how three state-of-the-art Mobile Ad-Hoc Network (MANET) routing protocols behave over the IEEE 802.11p/WAVE stack, which has been recently been specified for Vehicular Ad-hoc Networks (VANETs): Ad-hoc On-Demand Distance Vector (AODV), Optimized Link State Routing (OLSR) and Destination-Sequenced Distance-Vector (DSDV). Based on ns-3 and BonnMotion simulations, we evaluate Packet Delivery Rate, Goodput, Routing Overhead and End-to-End Delay for different trajectories, average speeds, and network densities. Our results show that the DSDV and OLSR protocols have a better performance than AODV, for low-density and low-speed scenarios. Additionally, we have observed that when the number of Nodes (network density) or Nodes’ velocity increases, the OLSR protocol performs better than the other two.

9 citations


Cites background from "Analysis of DSDV, OLSR and AODV Rou..."

  • ...Chouhan [2] ns-3 + SUMO AODV OLSR DSDV OLSR performs best....

    [...]


Dissertation
01 Jan 2019-
TL;DR: A framework for evaluating proposed technologies for next-generation wireless systems, using systems modelling approaches, mixes hard systems modelling into a soft approach providing a method for managing complexity and facilitating learning points for the development of future wireless systems.
Abstract: This thesis presents a framework for evaluating proposed technologies for next-generation wireless systems, using systems modelling approaches. First, the socio-economic system is explored addressing the challenging question of how to develop a strategy for research investment in the complex development space of Fifth Generation (5G) era technologies. By the application of Problem Structuring Methods, and focusing on developing a clearer understanding of the industry landscape, a methodology for strategic decision making is proposed. The approach is used to identify key areas of wireless technology research for the 5G era. Subsequently, identified key areas of wireless technology including, full-duplex, beamforming, clear channel assessment and transmission power adaptation are explored in single and multi-hop wireless networks. A novel conceptual simulation modelling methodology is proposed and applied to investigate the performance impact of these technologies when implemented in the context of Carrier Sense Multiple Access with Collision Avoidance wireless networks. The methodology is designed to aid researchers in the environment of a corporate research and development lab with the goal of developing innovations and intellectual property that can bring commercial success. Whilst each technology is capable in principle of improving system performance, often the gain is limited when implementing in a network environment. The methodology is used to propose strategies for maximising performance gain with quantitative results to support the conclusions. The framework mixes hard systems modelling into a soft approach providing a method for managing complexity and facilitating learning points for the development of future wireless systems.

4 citations


Cites methods from "Analysis of DSDV, OLSR and AODV Rou..."

  • ...Paper [59] further analyses the same routing protocols for application in VANETs (Vehicular Ad-hoc Network)....

    [...]


Journal ArticleDOI
TL;DR: Evaluated protocols for attenuation of communication signal over the transmission distance show that Ad hoc On-demand Distance Vector Routing Protocol outperforms the others being the most resistant to fading phenomena.
Abstract: ----------------------------------------------------------------------ABSTRACT----------------------------------------------------------Quality of service is negatively impacted by the attenuation of the communication signal over the transmission distance. The attenuation phenomena can be modelled using different fading models; Nakagami model is regarded as the most realistic one. Attenuation in VANET is more challenging since it depends also on vehicle’s length and node density. The main purpose of this paper is to evaluate the performances of Ad hoc On-demand Distance Vector, Dynamic destination-Sequenced Distance Vector and Optimized Link State Routing protocols. A real map from an urban zone has been used. The map has been prepared using the simulator of urban mobility (SUMO) for the network simulator 3 (ns-3). Results show that Ad hoc On-demand Distance Vector Routing Protocol outperforms the others being the most resistant to fading phenomena.

2 citations


Journal ArticleDOI
01 Aug 2021-
TL;DR: Comparing the different classes of VANET protocols gives guidelines in one place and demonstrates that AODV is the most optimal method among A ODV, OLSR & DSDV for the model.
Abstract: VANET (Vehicle Ad hoc Network) is a subclass of MANET, which is a rapidly increasing research field in the world. Vehicles are interactive with each other, V2I & hybrid in VANET. Several difficulties are facing author’s today V2V, V2I, and hybrid communication. Vehicles usually turn the field of VANET communication, transparent and enter new vehicles, network size or street conditions are main elements of this communication, which poses particular challenges such as highly dynamic topology, unregulated network size, high mobility, scalability, and networking. The previous MANET protocols are not enough to help VANET as a result of these issues. In this study, we surveyed and published numerous classes of VANET routing protocols (VRPs). Comparing the different classes of VANET protocols gives guidelines in one place. In this work, we utilize network simulator 3 to apply AODV, DSDV & OLSR routing on V2V, nodes. The evaluation criteria for comparison of these routing protocols include the use of QoS (Quality of Service) parameters such as PLR, packet overhead & throughput. For simulations, we use IEEE 802.11p model. The results of the simulation demonstrate that AODV is the most optimal method among AODV, OLSR & DSDV for our model.

2 citations


Proceedings ArticleDOI
01 Oct 2017-
TL;DR: A realistic mobility model from Makassar, Indonesia is proposed to test the performance of AODV and OLSR routing protocols in Packet Delivery Ratio (PDR), End To End Delay (E2ED) and Overhead Ratios.
Abstract: Vehicular Ad Hoc Network (VANET) is a practical solution of intelligent transportation system which combines the interaction between technology and network traffic. To develop VANET communication services, a realistic mobility environment must be primarily generated because it has a significant effect on routing protocol performance. In this paper, a realistic mobility model from Makassar, Indonesia is proposed to test the performance of AODV and OLSR routing protocols in Packet Delivery Ratio (PDR), End To End Delay (E2ED) and Overhead Ratios. The simulation results show that random mobility model produce better PDR with 83% for AODV and 87% for OLSR. Then E2ED showed similar result for both of mobility model. But AODV has the longest delay with 0.54 second on proposed mobility model. It's different with PDR and E2ED, overhead value showed better performance on proposed mobility model ie 0.83 for AODV and 0.67 for OLSR.

1 citations


Cites background from "Analysis of DSDV, OLSR and AODV Rou..."

  • ...This is because OLSRs are suitable for high-density networks and have low-overheads due to special nodes taking as Multipoint Relays (MPRs) for transmitting low latency packets[18]....

    [...]


References
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Proceedings ArticleDOI
A. Muqattash1, Marwan Krunz1Institutions (1)
09 Jul 2003-
TL;DR: Compared to the IEEE 802.11 approach, the proposed protocol achieves a significant increase in the channel utilization and end-to-end network throughput, and a significant decrease in the total energy consumption.
Abstract: In this paper, we propose a comprehensive solution for power control in mobile ad hoc networks (MANETs). Our solution emphasizes the interplay between the MAC and network layers, whereby the MAC layer indirectly influences the selection of the next-hop by properly adjusting the power of route request packets. This is done while maintaining network connectivity. Directional and channel-gain information obtained mainly from overheard RTS and CTS packets is used to dynamically construct the network topology. By properly estimating the required transmission power for data packets, our protocol allows for interference-limited simultaneous transmissions to take place in the neighborhood of a receiving node. Simulation results indicate that compared to the IEEE 802.11 approach, the proposed protocol achieves a significant increase in the channel utilization and end-to-end network throughput, and a significant decrease in the total energy consumption.

267 citations


Book ChapterDOI
Youping Zhao1, Bin Le1, Jeffrey H. Reed1Institutions (1)
01 Jan 2009-
TL;DR: This chapter discusses the strategy of exploiting network support in cognitive radio (CR) systems architectures introducing the radio environment map (REM) as an innovative vehicle of providing network support to CRs.
Abstract: This chapter discusses the strategy of exploiting network support in cognitive radio (CR) systems architectures introducing the radio environment map (REM) as an innovative vehicle of providing network support to CRs. As a systematic top-down approach to providing network support to CRs, the radio environment map is proposed as an integrated database consisting of multi domain information such as geographical features, available services, spectral regulations, locations and activities of radios, policies of the user and/or service provider, and past experience. An radio environment map (REM) can be exploited by a CE to enhance or achieve most of cognitive functionalities such as SA, reasoning, learning, planning, and decision support. Leveraging both internal and external network support through global and local REMs presents a sensible approach to implementing CRs in a reliable, flexible, and cost effective way. Network support can dramatically relax the requirements on a CR device as well as improve the performance of the whole CR network. Considering the dynamic nature of spectral regulation and operation policy, the REM-based CR is flexible and future proof in the sense that it allows regulators or service providers to modify or change their rules or policies simply by updating REMs accordingly.

106 citations


Proceedings ArticleDOI
Evjola Spaho1, Makoto Ikeda1, Leonard Barolli1, Fatos Xhafa  +2 moreInstitutions (3)
25 Mar 2013-
TL;DR: The simulation results shows that for big values of transmission rates, OLSR performs better than AODV and these protocols can be used for applications that tolerate this delay such as streaming and entertainment.
Abstract: In this paper, we investigate the performance of OLSR and AODV protocols in a VANET crossroad scenario. The mobility patterns of vehicles are generated by means of CAVENET (Cellular Automaton based Vehicular Network) and as communication protocol simulator, is used NS3(Network Simulator 3). For the simulations, we used IEEE802.11p standard, TwoRayGroundPropagationLossModel and sent multiple CBR flows over UDP between ten pairs source-destination. We use Packet Delivery Ratio (PDR), throughput and delay as evaluation metrics. We compared the performance of both protocols and the simulation results shows that for big values of transmission rates, OLSR performs better than AODV. For small transmission rates, the delay is less than 0.1sec and both protocols can be used for real time applications such as safety applications. For big values of transmission rate, the delay is higher than 1 sec and these protocols can be used for applications that tolerate this delay such as streaming and entertainment.

38 citations


Proceedings Article
Ganis Zulfa Santoso1, Moonsoo Kang1Institutions (1)
03 Apr 2012-
TL;DR: Simulation result show that despite DSDV is originally a MANETs protocol, but it could adapt to the requirement of safety application consistently, whilst OLSR and AODV failed to achieve the expected performance.
Abstract: Vehicular Ad Hoc Networks (VANETs) is derived from Mobile Ad Hoc Networks (MANETs) that recently attracts attention of research community. Active road safety application is one of the types of VANETs applications that is very important. It reduces the probability of traffic accident on the road and save human life. Besides that, it has a specific characteristic such as hard delay constraint compared to another type of VANETs applications. Therefore, performance simulation and analysis for this application are critical and require an unique approach also. In this paper, we compared and evaluated the performance of AODV, DSDV and OLSR in a safety application scenario using NS-3. Simulation result show that despite DSDV is originally a MANETs protocol, but it could adapt to the requirement of safety application consistently, whilst OLSR and AODV failed to achieve the expected performance.

25 citations


"Analysis of DSDV, OLSR and AODV Rou..." refers methods in this paper

  • ...DSDV, OLSR and AODV are [6] optimized for MANETs but are also used for VANETs....

    [...]


Proceedings ArticleDOI
Evjola Spaho1, Makoto Ikeda1, Leonard Barolli1, Fatos Xhafa  +2 moreInstitutions (3)
12 Nov 2012-
TL;DR: This paper investigates the performance of OLSR and DSDV protocols in a highway VANET scenario and the simulation results have shown that O LSR protocol performs better than D SDV.
Abstract: In this paper, we investigate the performance of OLSR and DSDV protocols in a highway VANET scenario. The mobility patterns of vehicles are generated by means of CAVENET (Cellular Automaton based Vehicular Network). As communication protocol simulator, is used NS3 (Network Simulator 3). The simulations are done for four different scenarios based on nodes ID. We use Throughput and Packet Delivery Ratio (PDR) as evaluation metrics. For the simulations we used IEEE 802.11p standard and TwoRayGroundPropagationLossModel. We compared the performance of both protocols and the simulation results have shown that OLSR protocol performs better than DSDV.

24 citations


"Analysis of DSDV, OLSR and AODV Rou..." refers background or methods in this paper

  • ...Optimized Link State Routing (OLSR) [2] is a pro-active routing protocol, and it keeps a [10] routing table inside every node of the network topology to build up a route for data transmission....

    [...]

  • ...During the simulation, [2] protocols encounter disconnections, but the time that DSDV is disconnected is longer than OLSR and AODV....

    [...]

  • ...The above mentioned technology also uses [2] the 5....

    [...]

  • ...11p [2] and Nakagami-n fast fading propagation loss model for the simulations....

    [...]


Performance
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No. of citations received by the Paper in previous years
YearCitations
20212
20202
20195
20182
20172
20161