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Proceedings ArticleDOI

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

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 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.

2 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]....

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Journal ArticleDOI
TL;DR: A comparative study is done among Ad-hoc On- Demand Distance Vector (AODV), Optimized Link State Routing (OLSR) and position-based routing protocols, namely Greedy Perimeter stateless routing (GPSR), and Max duration Min angle GPSR (MMG GPSR).
Abstract: Vehicular Ad-hoc Networks VANETs are normally sparse, highly dense, and highly mobile with many different and ever-changing topologies. These characteristics impose a challenge on finding a routing algorithm that fits the requirements of such network. The aim of this work is to study the performance issues of VANETs under different scenarios using realistic mobility models. In this paper, a comparative study is done among Ad-hoc On- Demand Distance Vector (AODV), Optimized Link State Routing (OLSR) and position-based routing protocols, namely Greedy Perimeter stateless routing (GPSR), and Max duration Min angle GPSR (MMGPSR). The comparison is done using key quality of service QoS metrics such as average routing goodput, end-to-end delay, MacPhy overhead, and packet delivery ratio PDR. The study is conducted using Network Simulator 3 (NS3) and SUMO.

2 citations

Proceedings ArticleDOI
01 Oct 2019
TL;DR: A novel Mobility-aware Gradient Routing protocol for Flying Ad hoc networks, named as MGRF is conceived, which introduces the mobility information of nodes into the computation of the routing cost, which guides receivers to make the forwarding decision.
Abstract: In recent years, Flying Ad hoc Networks (FANETs) consisted of multi Unmanned aerial vehicles (UAVs) through multi-hop wireless communication links, have been widely involved in the military and civilian domains. Due to highly dynamic topology, high mobility, and varying radio link quality, the unicast routing protocols for FANETs still provide limited performance in the dynamic environment. In this paper, we conceive a novel Mobility-aware Gradient Routing protocol for Flying Ad hoc networks, named as MGRF. We introduce the mobility information of nodes into the computation of the routing cost, which guides receivers to make the forwarding decision. The simulation results indicate that MGRF achieves the high message delivery ratio under highly dynamic FANETs environment, compared to other unicast routing protocols.

2 citations

Posted ContentDOI
11 Dec 2020
TL;DR: A routing scheme that incorporates the control strategy for transmitting messages and Global Navigation Satellite System information to optimise network routing and shows that the proposed NAV2V algorithm can decrease the packet loss rate, end-to-end delay, and enhance network efficiency.
Abstract: Vehicular AdHoc networks (VANETs) allow connectivity in dispersed vehicle environments and in other areas of difficult access, where conventional network systems are not satisfactory. One of the most significant technical challenges faced in implementing VANET is to design an efficient routing protocol able to provide a reliable path between the source and destination of the information. This paper discusses a routing scheme that incorporates the control strategy for transmitting messages and Global Navigation Satellite System (GGNS) information to optimise network routing. This scheme uses geolocation information to select the best path to forward the messages. To simulate a communication in real-life scenario, we used the Simulation of Urban MObility (SUMO) and Network Simulator-version 3 (NS-3) platform to compare our proposed algorithm to the traditional routing protocols in scenarios where the number of nodes as well as the number of source-destination pairs vary. Our results show that the proposed NAV2V algorithm can decrease the packet loss rate, end-to-end delay, and enhance network efficiency.

1 citations

Proceedings ArticleDOI
01 Oct 2018
TL;DR: This paper provides a performance evaluation for several popular Vehicular Ad-Hoc Network (VANET) protocols, namely AODV, DSR, OLSR, DSDV, GPSR, CBRP, and ZRP with Nakagami fading propagation model for Auckland area.
Abstract: This paper provides a performance evaluation for several popular Vehicular Ad-Hoc Network (VANET) protocols, namely AODV, DSR, OLSR, DSDV, GPSR, CBRP, and ZRP with Nakagami fading propagation model for Auckland area. The impact of the shape factor of the Nakagami model on the performance is investigated for each of the studied protocols, and for three types of traffic: low, medium and high traffic. Two real scenarios are considered: urban area (central of Auckland), with a maximum speed of 50 km/h, and motorway, with a maximum speed of 100 km/h. Results show that the performance of the protocols varies and depends on several factors including the number and the speed of vehicles

1 citations


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

  • ...Different VANET routing protocols have been evaluated and compared under different environmental conditions [5][6][7][8][9]....

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References
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Proceedings ArticleDOI
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.

269 citations

Book ChapterDOI
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
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.

41 citations

Proceedings ArticleDOI
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.

28 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....

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

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

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

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Proceedings Article
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.

28 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....

    [...]