Performance analysis and comparison of the DSDV, AODV and OLSR routing protocols under VANETs

Sallum, Eduardo El Akkari; Santos, Guilherme dos; Alves, Mário; Santos, Max Mauro Dias

doi:10.1109/itst.2018.8566825

Cited by 24 publications

(13 citation statements)

References 16 publications

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“…For this analysis, the radio propagation model used is the two‐ray ground , while the MAC layer is in accordance with the IEEE 802.11p standard 27 . The traffic is modeled as constant bit rate (CBR—with 4 messages/s), considering the UDP transport protocol and the AODV routing protocol 26 . Five simultaneous connections are considered, where source and destination are chosen at random at the beginning and remain operative until the end of the simulation.…”

Section: The Physical Factors Influencementioning

confidence: 99%

“…The Scenario 2 is a quadrangular area of 1000 m

\times

1000 m, with squares of 100 m

\times

100 m 23 . This scenario corresponds to a Manhattan's grid with horizontal, vertical and intersection streets that represent a real and urban environment 24–26 . The vehicles move following the mobility model implemented in the VanetMobiSim software.…”

Section: The Physical Factors Influencementioning

confidence: 99%

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Strategies to increase connectivity and performance of VANETs: Analysis of route lifetime and routing protocol proposal

Assis

Alves

Wille

2022

Trans Emerging Tel Tech

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Vehicular ad hoc networks aim to provide communication among vehicles, providing safety and entertainment to passengers. The performance of these networks is entirely dependent on the existence of routes and the time they remain established (the route lifetime). Several factors can influence route lifetime and network connectivity, for instance: speed, density, direction of movement, and radio transmission range. The investigation of route lifetime and what are the critical physical factors, can assist in building more appropriate protocols and applications, developing efficient mobile communication infrastructures. Therefore, this article proposes strategies to increase the performance of V2V vehicular networks, through the analysis of which factors most influence performance and the development of a new routing protocol, which based on these factors, is able to select the best routes. The simulations prove that the route lifetime increases in denser networks and when vehicle movement occurs in the same direction. Meanwhile, the route lifetime does not undergo significant changes depending on the speed of vehicles. Based on these results, the Improved Connectivity Ad Hoc On‐Demand Multipath Distance Vector (IC_AOMDV) protocol was developed which, without the use of any fixed infrastructure (eg, GPS), surpassed the classic AOMDV and AODV protocols in all metrics tested.

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Section: The Physical Factors Influencementioning

confidence: 99%

“…The Scenario 2 is a quadrangular area of 1000 m

\times

1000 m, with squares of 100 m

\times

Section: The Physical Factors Influencementioning

confidence: 99%

Strategies to increase connectivity and performance of VANETs: Analysis of route lifetime and routing protocol proposal

Assis

Alves

Wille

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…It handles the most current routing information by using modified routing results, including tables as routing. The problem with AODV is, however, that the node remains asymmetrical associations [14], [15]. In other words, an AODV can keep an asymmetrical connection between the sender node and the receiver node only.…”

Section: Ad Hoc On-demand Distance Vector (Aodv)mentioning

confidence: 99%

Enhanced-AODV Node Reliability Approach for MANET to Optimize Performance Metrics and Energy Consumption

2021

IJATCSE

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Ad-hoc network is a network of moving wireless nodes which do not have a central or permanent influence over their connections. It is a mobile node device that is auto configured and connected to an arbitrary infrastructure through wireless connections. Therefore, due to the highly complex environment, MANET routing is acrucial activity. Various protocols are used to enhance the routing process, such that a network route is found between every transmitter and the host receiver. In this post, we modified the AODV protocol to increase the rate of throughput, end-to-end delays, and packet distribution, etc. We used ns3 simulator to compare the protocols AODV, DSDV, OLSR and Enhanced AODV. It is noteworthy that EAODV routing protocols perform much better than OLSR that the DSDV routing protocol provides high throughput, a lower latency and high delivery ratio of packages. In addition, our proposed energy efficient model has changed conventional AODV. Our improved EAODV protocol's overall performance is 3% superior to other conventional protocols.

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“…For this, the routing and congestion overhead are computed conforming to the progressive network scale along with the end-to-end delay valuation in ad-hoc environment. Additionally, the operation of AODV, DSDV and OLSR routing techniques are investigated in smart vehicular ad-hoc communications [10]. Disparate performance metrics are estimated based on the BonnMotion mobility setup scenario according to the variation in the node density, node velocity, and simulation trajectory area.…”

Section: Related Workmentioning

confidence: 99%

Cross-Layer Design Based N-Ary Huffman Coding For Performance Analysis of DSDV Routing Protocol In MANETs

Mehta

2021

Preprint

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The implementation of the optimal Huffman coding technique for achieving proficient data compression, lower information redundancy and minimal utilization of the scarce bandwidth is essential to handle the effective processing of massive network data. In this paper, we employ cross-layer design technique among the data link, network and presentation layers of the traditional protocol stack to develop the improved DSDV routing protocol based on n-ary Huffman coding procedure. The entropy-based adaptive prefix codewords with variable length are assigned to the probability of packet successful delivery across the ad-hoc wireless network. Several coding and network efficiency parameters are deployed to assess the performance of the proposed routing scheme under three distinctive IPv4 network scenarios. These investigated network protocols include the default IPv4, multi IPv4 and dynamic IPv4 routing methodologies. Diversified simulation settings are employed with deviating network size to measure the multitude of essential wireless network characteristics incorporating the average delay, packet error rate, packet delivery fraction, data rate, ping loss rate, entropy rate, and reception cache hit. In addition, the set of key data compression/coding indicators are examined through comprehensive numerical analysis such as codeword length, source information rate, mean redundancy, and coding efficiency. Beyond, we significantly compare the performance of our developed cross-layer coded mobile routing model with several previous algorithms to validate its enhanced feasibility and superiority in terms of crucial network operation metrics such as throughput, packet drop rate, mean delay and packet delivery ratio.

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Performance analysis and comparison of the DSDV, AODV and OLSR routing protocols under VANETs

Cited by 24 publications

References 16 publications

Strategies to increase connectivity and performance of VANETs: Analysis of route lifetime and routing protocol proposal

Strategies to increase connectivity and performance of VANETs: Analysis of route lifetime and routing protocol proposal

Enhanced-AODV Node Reliability Approach for MANET to Optimize Performance Metrics and Energy Consumption

Cross-Layer Design Based N-Ary Huffman Coding For Performance Analysis of DSDV Routing Protocol In MANETs

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